Image and Vision Computing 1992: Vol 10 Index

5 Pages·1992·1.9 MB·English

image
Vision
COMPUTING
Index to Volume 10 (1992)
No 1 (January/February) pp 1-64 No 6 (July/August) pp 329-464
No 2 (March) pp 65-128 No 7 (September) pp 465-520
No 3 (April) pp 129-208 No 8 (October) pp 521-576
No 4 (May) pp 209-264 No 9 (November) pp 577-640
No 5 (June) pp 265-328 No 10 (December) pp 641-712
Author index Chen, Y-S. see Liu, T-Y, 46 Graham, J. see Cootes, T.F., 289
Chen, Y. and Medioni, G., Object Griffin, L.D., Colchester, A.C.F. and
Abbood, A. see Ellis, T., 271 modelling by registration of multiple Robinson, G.P., Scale and
Amini, A.A. and Duncan, J.S., Bending range images, 145 segmentation of grey-level images
and stretching models for LV wall Chipman, L.J. see Ranganath, H.S., 631 using maximum gradient paths, 389
motion analysis from curves and Colchester, A.C.F. see Griffin, L.D., 389 Gros, P. see Quan, L., 319
Cooper, D.H. see Cootes, T.F., 289 Groshong, R. see Snyder, W.E., 523
surfaces, 418
Cootes, T.F., Cooper, D.H., Taylor,
Ancona, N. see Caponetti, L., 549 C.J. and Graham, J., Trainable Hanmandlu, M., Rangaiah, C. and
AAAsyytaalccehhyee,,, S.NN ..s eess eeeeM iMlHleoernrlg,i na.,P .,I O..2L,.7 ,7 460733 mdeestchroidpt ioonf, pa2r8a9m etric shape Bmrieacstowcgahnsii,nt gi oKn.t,Ke .c,h5 7n8iQ quuaed rfiocrs -b3aDs eobdj ect
Bajcsy, R. see Lee, S.W., 643 Dale-Jones, R. and Tjahjadi, T., Four Harrell, C.R. see Zubal, I.G., 37
Baker, K.D. see Du, L., 301 algorithms for enhancing images with Hayat, L., Naqvi, A. and Sandler, M.B.,
Baker, K.D. see Zhang, S., 313 large peaks in their histogram, 495 Comparative evaluation of fast
Baldock, R.A., Trainable models for the Davies, E.R., Procedure for thinning algorithms on a
interpretation of biomedical images, generating template masks for multiprocessor architecture, 20
444 detecting variable signals, 241 Hebert, M. and Krotkov, E., 3D
Barber, H.B. see Saffer, J.R., 333 de Salabert, A. see Sawyer, G., 589 measurements from imaging laser
radars: how good are they?, 170
Barletta, G. see Baroni, M., 485 Delingette, H., Herbert, M. and Ikeuchi,
Herbert, M. see Delingette, H., 132
Baroni, M. and Barletta, G., Digital K., Shape representation and image
curvature estimation for left segmentation using deformable Herlin, I.L. and Ayache, N., Features
ventricular shape analysis, 485 surfaces, 132 extraction and analysis methods for
Barrett, H.H. see Saffer, J.R., 333 Denos, M.I. see O'Neill, M.A., 89 sequences of ultrasound images, 673
Barrett, H.H., Gooley, T., Girodias, K., Distante, A. see Caponetti, L., 549 Hill, A. and Taylor, C.J., Model-based
Rolland, J., White, T. and Yao, J., Du, L., Sullivan, G.D. and Baker, image interpretation using genetic
Linear discriminants and image K.D., 3D grouping by viewpoint algorithms, 295
Hindley, N. see Sawyer, G., 589
quality, 451 consistency ascent, 301
Basille, J-L., Fernandez, P. and Komen, Duncan, J.S. see Amini, A.A., 418 Howarth, R.J. and Buxton, H.,
E.R., Recursive neighbourhood Duncan, J.S. see Bozma, H.I., 431 Analogical representation of space and
time, 467
operations on the linear processor
array SYMPATI-2, 625 Eklundh, J-O. see Lindeberg, T., 3 Hsiao, M. see Snyder, W.E., 523
Bedini, L. and Tonazzini, A., Image Eklundh,.J-O. see Pahlavan, K., 654 Hsu, W-H. see Liu, T-Y, 46
restoration preserving discontinuities: Ellis, T., Abbood, A. and Brillault, B., Huang, T.S. see Nguyen, T.C., 689
the Bayesian approach and neural Ellipse detection and matching with Hudacko, T. see Snyder, W.E., 523
networks, 108 uncertainty, 271 Ikeuchi, K. see Delingette, H., 132
Benhabib, B. see Safaee-Rad, R., 532 Fernandez, P. see Basille, J-L., 625
BBiilsbwraos,, GK.. Ks.e e seSen ydHearn,m aWn.d,l u3,6 1 M., 578 Fishaern,d Rr.ecBo.g,n iRteiporn esweinttha tsieonc,o nde-xotrrdaecrti on JJaaiinn,, AR..CK.. sseeee TRiarjuam,a laN.iS,. , A.1P7.9, 191
Johnson, D.G. see Sawyer, G., 589
Boone, K.L. see Snyder, W.E., 523 topographic surface features, 156
Jolesz, F.A. see Gerig, G., 349
Boyce, J.F. see Toulson, D.L., 324 Florack, L.M.J., ter Haar Romeny,
Bosma, H.I. and Duncan, J.S., Modular B.M., Koenderink, J.J. and Jones, D.G. and Malik, J.,
system for image analysis using a Viergever, M.A., Scale and the Computational framework for
game-theoretic framework, 431 differential structure of images, 376 determining stereo correspondence
Brady, J.M. see Shapiro, L.S., 283 Forsyth, D., Mundy, J.L. and Zisserman, from a set of linear spatial filters, 699
Brady, M. see Reid, I., 197 A., Transformational invariance — a Jones-Parry, I.H. see Sawyer, G., 589
Brillault, B. see Ellis, T., 271 primer, 39
Brillault-O’Mahony, B., High level 3D Forsyth, D.A. see Rothwell, C.A., 250 Karssemeijer, N., Stochastic model for
structures from a single view, 508 automated detection of calcifications in
Gerig, G., Martin, J., Kikinis, R., digital mammograms, 369
Bryson, N. and Taylor, C.J., Boundary
detection using Bayesian nets, 308 Kubler, O., Shenton, M. and Jolesz, Kaushal, T.P., Towards visually
Burger, P. see Rashid, H.U., 119 F.A., Unsupervised tissue type convincing image segmentation, 617
Buxton, H. see Howarth, R.J., 467 segmentation of 3D dual-echo MR Khan, G.N. and Gillies, D.F., Extracting
head data, 349 contours by perceptual grouping, 77
Caponetti, L., Distante, A., Ancona, N. Gillies, D.F. see Khan, G.N., 77 Kikinis, R. see Gerig, G., 349
and Mugnuolo, R., 3D object Girodias, K. see Barrett, H.H., 451 Koenderink, J.J. and van Doorn, A.J.,
recognition based on a viewpoint- Gooley, T. see Barrett, H.H., 451 Surface shape and curvature scales,
analysis, 549 Goutis, C.E. see Koufapaviou, O.G., 479 557
Koenderink, J.J. see Florack, L.M.J., Rajala, S. see Snyder, W., 361 Robust segmentation of noisy images
376 Rangaiah, C. see Hanmandlu, M., 578 using a neural network model, 233
Komen, E.R. see Basille, J-L., 625 Ranganath, H.S. and Chipman, L.J., White, T. see Barrett, H.H., 451
Koufopaviou, O.G. and Goutis, C.E., Fuzzy relaxation approach for inexact Woolfenden, J.M. see Saffer, J.R., 333
Image reconstruction on a special scene matching, 631
purpose array processor, 479 Rashid, H.U. and Burger, P., Xing, X. see Wang, T., 233
Krotkov, E. see Hebert, M., 170 Differential algorithm for the Yao, J. see Barrett, H.H., 451
Kubler, O. see Gerig, G., 349 determination of shape from shading
using a point light source, 119 Zhang, J. see Olariu, S., 610
Leavterrasn,s foVr.mF. ,a s Uas em eotfh othde Roaf deoxnt racting Reid, I. and Brady, M., Model-based Zhang, S., Sullivan, G.D. and Baker,
recognition and range imaging for a K.D., Relational model construction
information about shape in two
guided vehicle, 197 and 3D object recognition from single
dimensions ,9 9 Robinson, G.P. see Griffin, L.D., 389 2D monochromatic image, 313
Lee, S.W. and Bajecsy, R., Detection of
Rohr, K., Modelling and identification of Zhuang, X. see Wang, T., 233
svpieecwusl,a r6i4t3y using colour and multiple characteristic intensity variations, 66 Zisserman, A. see Forsyth, D., 39
Rolland, J. see Barrett, H.H., 451 Zisserman, A. see Rothwell, C.A., 250
Li, $.Z., Object recognition from range
Rothwell, C.A., Zisserman, A.., Zubal, I.G. and Harrell, C.R., Voxel
data prior to segmentation, 566 Marinos, C.I., Forsyth, D.A. and based Monte Carlo calculations of
Lindeberg, T. and Eklundh, J-O., Scale-
Mundy, J.L., Relative motion and nuclear medicine images and applied
sepxapceer impernitmsa,l s3k etch: construction and pose from arbitrary plane curves, 250 variance reduction techniques, 37
Rye, A.J. see Sawyer, G., 589
Link, K. see Snyder, W., 361
Liu, T-Y., Hsu, W-H. and Chen, Y-S., Safaee-Rad, R., Tchoukanov, I., Smith, Keyword index
Shape description via shading images, K.C. and Benhabib, B., Constraints
46 on quadratic-curved features under Adaptive filtering
Logenthiran, A. see Snyder, W., 361 perspective projection, 532 Left ventricular shape, Curvature
Longuet-Higgins, H.C., A method of Saffer, J.R., Barrett, H.H., Barber, estimation, 485
obtaining the relative positions of four H.B. and Woolfenden, J.M., Surgical Array processor
points from three perspective probe design for a coincidence — Image reconstruction, 479
projections, 266 imaging system without a collimator, Automatic planning
Data fusion, Spatial databases, 589
Malik, J. see Jones, D.G., 699 Sander, P.T. see Monga, O., 403
March, R., Visual reconstruction with Sandler, M.B. see Hayat, L., 20 Bayesian networks
discontinuities using variational Santago, P. see Snyder, W., 361 Machine vision, Edge detection, 308
methods, 30 Sawyer, G., Mason, D.C., Hindley, N., Binocular head-eye systems
Marinos, C.1. see Rothwell, C.A., 250 Johnson, D.G., Jones-Parry, I.H., Computer vision, Control of
Martin, J. see Gerig, G., 349 Oddy, C.J., Pike, T.K., Plassard, T., attention, 654
Mason, D.C. see Sawyer, G., 589 Rye, A.J. and de Salabert, A., Biomedical image interpretation
Medioni, G. see Chen, Y., 145 MuSIP Multi-Sensor Image Ultrasound, Cardiac measurement,
Meisels, A. and Versano, R., Token- Processing system, 589 444
textured object detection by pyramids, Schunck, B.G. see Tirumalai, A.P., 191 Boundary following
55 Schwing, J.L. see Olariu, S., 610 Grey-level morphology, Image
Miller, P. and Astley, S., Classification of Shapiro, L.S. and Brady, J.M., Feature- junctions, 219
breast tissue by texture analysis, 277 based correspondence: an eigenvector Bus systems
Mohr, R. see Quan, L., 319 approach, 283 Reconfigurable meshes, Prefix sums,
Monga, O., Ayache, N. and Sander, Shenton, M. see Gerig, G., 349 610
P.T., From voxel to intrinsic surface Smith, K.C. see Safaee-Rad, R., 532
Mugfneuaotluor,es ,R4 .0 3s ee Caponetti, L., 549 SnydPe.r,, LiWn.k,, LKo.g, enBtihlibrroa,n , G.A .,a ndS anRtaajgaola,, CW Ralansgeers finders, Mobile robots, 170
Mundy, J.L. see Forsyth, D., 39 S., Segmentation of magnetic Cardiac measurement
Mundy, J.L. see Rothwell, C.A., 250 resonance images using mean field BUlitormaesdoiucnadl, i4m4a4g e interpretation,
annealing, 361
Naqvi, A. see Hayat, L., 20 Co-cecurrence matrices
Snyder, W.E., Groshong, R., Hsiao, M.,
Nguyen, T.C. and Huang, T.S., /mage Boone, K.L. and Hudacko, T., Closing Neural network, Image segmentation,
blurring effects due to depth 324
gaps in edges and surfaces, 523
discontinuities: blurring that creates Computational! differential geometry ;
emergent image details, 689 Sparr, G., Depth computations from Optical flow, Non-rigid motion, 418
polyhedral images, 683
Nobl1e9, J.A., /mages as functions and sets, SSuulllliivvaann,, GG..DD.. sseeee DZuh,a ngL,., S3.0,1 313 CompPuyrtaemri dsv,is ioTne xture, 55
Noble, J.A., Finding half boundaries and Perspective projections, Image
junction in images, 219 Taylor, C.J. see Cootes, T.F., 289 sequences, 266
Taylor, C.J. see Hill, A., 295 Binocular head-eye systems, Control
O'Neill, M.A. and Denos, M.1., Practical Taylor, C.J. see Bryson, N., 308 of attention, 654
approach to the stereo matching of Tchoukanov, I. see Safaee-Rad, R., 532 Computerized mammography
urban imagery, 89 ter Haar Romeny, B.M. see Florack, Texture segmentation, Medical image
Oddy, C.J. see Sawyer, G., 589 L.M.J., 376 interpretation, 277
Olariu, S., Schwing, J.L. and Zhang, J., Tirumalai, A.P., Schunck, B.G. and Conic
rFeascto nfciogmupruatbelre vmiessihoens ,a lg6o1r0i thms for Jlaeivnel, sRt.rCu.c,tu raRle codvesecrriinpgt ioan bforuondma ry- ContIrnavsatr iaennt,h anCcroesmse-nrtat io, 319
dynamic stereo, 191 Histogram, Modification, 495
Pahlavan, K., Uhlin, T. and Eklundh, Tjahjadi, T. see Dale-Jones, R., 495 Control of attention
J-O., Integrating primary ocular Tonazzini, A. see Bedini, L., 108 Computer vision, Binocular head-eye
Peropnrao,ce ssP.e,s ,S t6e5e4r able-scalable kernels for ToulSseognm,e ntDa.Lt.i ona ndo f BMoRyc ei,m aJg.eFs., using Cornerss ystems, 654
edge detection and junction analysis, neural nets, 324 Model-based recognition, Junctions,
663 66
Pike, T.K. see Sawyer, G., 589
Uhlin, T. see Pahlavan, K., 654 Correspondence problem
Plassard, T. see Sawyer, G., 589 Modes, 283
Quan, L., Gros, P. and Mohr, R., van Doorn, A.J. see Koenderink, J.J., Cross-ratio
Invariants of a pair of conics revisited, Invariant, Conic, 319
Versano, R. see Meisels, A., 55 Curvature estimation
Viergever, M.A. se Florack, L.M.J., Left ventricular shape, Adaptive
Raja, N.S. and Jain, A.K., Recognizing 376 filtering, 485
geons from superquadrics fitted to Curvature scales
range data, 179 Wang, T., Zhuang, X. and Xing, X., Surface shape, 557
Data fusion Image analysis Mathematical morphology
Automatic planning, Spatial Pattern recognition, Segmentation, Two dimensional feature detection,
databases, 589 Image descri tions, 19
Deformable surfaces Image descriptions Mean and Gaussian curvature
Range data, Three dimensional Mathematical morphology, Two Typical surface features, Local
models, 132 dimensional feature detection, 19 curvature extrema, 403
Deformable templates Image junctions Mean field annealing
Flexible shape models, 289 Grey-level morphology, Boundary Segmentation, Magnetic resonance,
Depth following, 219 361
Shape, Reconstruction, 683 Image processing Medical image analysis
Depth-from-blur Feature extraction, Ultrasound, 673 Segmentation in multidimensions,
Multi-component image blurring Image processing systems Statistical classification, 349
(MCB), Point-spread functions Sensor fusion, Nash equilibrium, 431 Medical image interpretation
(kernels), 689 Image quality Computerized mammography,
Discontinuity detection Medical imaging, Linear discriminant Texture segmentation, 277
Early vision, Variational functions, 451 Medical imaging
convergence, 30 Image reconstruction Image quality, Linear discriminant
Dynamic stereo Array processor, 479 functions, 451
Sensor fusion, Environment Image restoration Mobile robots
modelling, 191 Markov Random Fields, Neural Range finders, CW lasers, 170
networks, 108 Model construction
Image segmentation Three dimensional object
Early vision Neural network, Co-occurrence recognition, View independent
Discontinuity detection, Variational matrices, 324 relational model, 313
convergence, 30 Image sequences Model-based recognition
Edge detection Computer vision, Perspective Corners, Junctions, 66
Bayesian networks, Machine vision, projections, 266 Model-based vision
308 Image understanding Genetic algorithms, Flexible
Gaps, Morphological techniques, 523 Monocular vision, Three dimensional templates, 295
Steerable-scalable kernels, Linear representation, 508 Models
interpolation, 663 Initial segmentation Correspondence problem, 283
Ellipse fitting Neural network model, Refining Modification
Kalman fitter, Mahalanobis distance, segmentation, 233 Contrast enhancement, Histogram,
271 Interactive image segmentation 495
Environment modelling Photopic correction, Veiled- Monocular vision
Dynamic stereo, Sensor fusion, 191 Michelson contrast, 617 Image understanding, Three
Extended Gaussian image Invariance dimensional representation, 508
Object recognition, Viewpoint- Recognition, Shape, 39 Morphological techniques
analysis, 549 Pose, Perspective, 250 Edge detection, Gaps, 523
Invariant Morphology
Cross-ratio, Conic, 319 Ridge, Trough, 389
Feature extraction
Invariant representation Multi-component image blurring (MCB)
Image processing, Ultrasound, 673 Shape matching, Optimization, 566 Depth-from-blur, Point-spread
Feature matching
functions (kernels), 689
Object recognition, Tree search, 578 Junctions
Flexible shape models Model-based recognition, Corners, 66 Nash equilibrium
Deformable templates, 289 Image processing systems, Sensor
Flexible templates Kalman fitter fusion, 431
Genetic algorithms, Model-based Ellipse fitting, Mahalanobis distance, Neural network
vision, 295 271 Image segmentation, Co-occurrence
Focus-of-attention matrices, 324
Left ventricular shape
Scale detection, Segmentation, 3 Neural network model
Fuzzy relaxation Curvature estimation, Adaptive Initial segmentation, Refining
Scene matching, Oversegmentation, filtering, 485 segmentation, 233
631 LineH oaungd h cotnrtaonusrf oremx,t raPcteirocne ptual Neural networks
Image restoration, Markoy Random
grouping, 77
Fields, 108
Gamma rays Linear discriminant functions
Surgical probes, Nuclear medicine, Image quality, Medical imaging, 451 Noise-whitening 3°
Template masks, Spatial matched
333 Linear interpolation
Gaps Edge detection, Steerable-scalable filter, 241
Non-rigid motion
Edge detection, Morphological kernels, 663
Optical flow, Computational
techniques, 523 Linear processor array differential geometry, 418
Gaussian derivatives Parallelism, Recursive
Nuclear medicine
Scale-space, Gaussian kernel, 376 neighbourhood operations, 625
Gaussian kernel Linear spatial filters Surgical probes, Gamma rays, 333
Scale-space, Gaussian derivatives, Stereo correspondence, Stereopsis,
376 699 Object modelling
Three dimensional surface
Genetic algorithms Local curvature extrema
registration, Range image
Model-based vision, Flexible Typical surface features, Mean and registration, 145
templates, 295 Gaussian curvature, 403
Object recognition
Geons Local shading analysis
Range data, Superquadrics, 179 Shape from shading, Point light Radon transform, Shape, 99
Range sensing, Surface
Grey-level morphology source, 119
reconstruction, 197
Boun2d19a ry following, Image junctions, Machine vision Viewpoint consistency constraints,
Bayesian networks, Edge detection, Pose recovery, 301
High-level vision Viewpoint-analysis, Extended
Spatial representation, Spatio- Magnetic resonance Gaussian image, 549
temporal reasoning, 467 Segmentation, Mean field annealing, Feature matching, Tree search, 578
Histogram 361 Optical flow
Contrast enhancement, Modification, Mahalanobis distance Computational differential geometry,
495 Ellipse fitting, Kalman fitter, 271 Non-rigid motion, 418
Hough transform Markov Random Fields Optimization
Line and contour extraction, Image restoration, Neural networks, Invariant representation, Shape
Perceptual grouping, 77 108 matching, 566
Oversegmentation Scale detection Template masks
Fuzzy relaxation, Scene matching, Segmentation, Focus-of-attention, 3 Spatial matched filter, Noise-
631 Scale-space whitening, 241
Gaussian kernel, Gaussian Texture
Parallel implementation derivatives, 376 Computer vision, Pyramids, 55
Thinning algorithms, 20 Scene matching Texture segmentation
Parallelism Fuzzy relaxation, Oversegmentation, Computerized mammography,
Linear processor array, Recursive 631 Medical image interpretation, 277
neighbourhood operations, 625 Segmentation Thinning algorithms
Pattern recognition Scale detection, Focus-of-attention, 3 Parallel implementation, 20
Image analysis, Segmentation, 369 Magnetic resonance, Mean field Three dimensional model-based vision
Perceptual grouping annealing, 361 Range data analysis, Volumetric
Line and contour extraction, Hough Pattern recognition, Image analysis, features, 156
transform, 77 369 Three dimensional models
Perspective Segmentation in multidimensions Range data, Deformable surfaces,
Pose, Invariance, 250 Medical image analysis, Statistical 132
Perspective projection classification, 349 Three dimensional object recognition
Three dimensional location Sensor fusion Model construction, View
estimation, Quadratic-curved Dynamic stereo, Environment independent relational model, 313
features, 532 modelling, 191 Three dimensional representation
Perspective projections Image processing systems, Nash Image understanding, Monocular
Computer vision, Image sequences, equilibrium, 431 vision, 508
266 Shading image Three dimensional shape description
Photometric stereo Photometric stereo, Three Shading image, Photometric stereo,
Shading image, Three dimensional dimensional shape description, 46 46
shape description, 46 Shadows Three dimensional surface registration
Photopic correction Stereo matching, Urban imagery, 89 Object modelling, Range image
Veiled-Michelson centrast, Shape registration, 145
Interactive image segmentation, Invariance, Recognition, 39 Three dimensional location estimation
617 Radon transform, Object recognition, Quadratic-curved features,
Point light source 99 Perspective projection, 532
Shape from shading, Local shading Depth, Reconstruction, 683 Tree search
analysis, 119 Shape from shading Object recognition, Feature
Point-spread functions (kernels) Point light source, Local shading matching, 578
Multi-component image blurring analysis, 119 Trough
(MCB), Depth-from-blur, 689 Shape matching Morphology, Ridge, 389
Pose Invariant representation, Two dimensional feature detection
Perspective, Invariance, 250 Optimization, 566 Mathematical morphology, Image
Pose recovery Simulation descriptions, 19
Object recognition, Viewpoint Software phantom, Stratification, 37 Typical surface features
consistency constraint, 301 Software phantom Local curvature extrema, Mean and
Prefix sums Simulation, Stratification, 37 Gaussian curvature, 403
Reconfigurable meshes, Bus systems, Spatial databases
610 Data fusion, Automatic planning, 589 Ultrasound
Pyramids Spatial matched filter Biomedical image interpretation,
Computer vision, Texture, 55 Template masks, Noise-whitening, Cardiac measurement, 44
Feature extraction, Image processing,
Spatial representation
Quadratic-curved features Spatio-temporal reasoning, High- Urban imagery ,
Three dimensional location level vision, 467 Stereo matching, Shadows, 89
estimation, Perspective
projection, 532 Spatio-temporal reasoning Variational convergence
Spatial representation, High-level
Early vision, Discontinuity detection,
vision, 467
30
Radon transform Spectral differencing Veiled-Michelson contrast
Shape, Object recognition, 99 Surface reflectance, Specularity, 643 Photopic correction, Interactive
Range data Specularity image segmentation, 617
Three dimensional models, Surface reflectance, Spectral
Deformable surfaces, 132 differencing, 643 View independence relational model
Three dimensional object
Geons, Superquadrics, 179 Statistical classification recognition, Model construction,
Range data analysis Medical image analysis, Segmentation 313
Three dimensional model-based in multidimensions, 349
Viewpoint consistency constraint
vision, Volumetric features, 156 Steerable-scalable kernels Object recognition, Pose recovery,
Range finders Edge detection, Linear interpolation, 301
Mobile robots, CW lasers, 170 663
Range image registration Stereo correspondence ViewOpbojienctt- anraelcyosginsi tion, Extended
Object modelling, Three dimensional Linear spatial filters, Stereopsis, 699
Gaussian image, 549
surface registration, 145 Stereo matching Volumetric features
Range sensing Urban imagery, Shadows, 89
Three dimensional model-based
Surface reconstruction, Object Stereopsis vision, Range data analysis, 156
recognition, 197 Stereo correspondence, Linear spatial
Recognition filters, 699
Invariance, Shape, 39 Stratification
Book reviews
Reconfigurable meshes Simulation, Software phantom, 37
Bus systems, Prefix sums, 610 Superquadrics Machine Vision, E.R. Davies, Harcourt
Reconstruction Range data, Geons, 179 Brace-Jovanovich, 1990
Depth, Shape, 683 Surface reconstruction K. Liburdy, 63
Recursive neighbourhood operations Range sensing, Object recognition,
Linear processor array, Parallelism, 197
625 Surface reflectance Publications received, 461
Refining segmentation Specularity, Spectral differencing, 643
Neural network model, Initial Surface shape
segmentation, 233 Curvature scales, 557 Editorials/Comment
Ridge Surgical probes
Morphology, Trough, 389 Nuclear medicine, Gamma rays, 333 131, 331, 466, 642
712 image and vision computing