Zisserman, A.,
Forsyth, D.,
Mundy, J.,
Rothwell, C.,
Liu, J.,
Pillow, N.,
3d Object Recognition Using Invariance,
AI(78), 1995, pp. 239-288.
BibRef
Reid, I.D.,
Brady, J.M.,
Recognition Of Object Classes From Range Data,
AI(78), 1995, pp. 289-326.
BibRef
Grewe, L.,
Kak, A.C.,
Interactive Learning Of A Multi-Attribute Hash Table Classifier For Fast Object Recognition,
CVIU(61), 1995, pp. 387-416.
BibRef
Rigoutsos, I.,
Hummel, R.,
A Bayesian Approach To Model Matching With Geometric Hashing,
CVIU(62), 1995, pp. 11-26.
BibRef
Hodges, J.,
Functionality And Physical Object Characteristics And Object Recognition In Improvisation,
CVIU(62), 1995, pp. 147-163.
BibRef
Rivlin, E.,
Dickinson, S.,
Rosenfeld, A.,
Recognition By Functional Parts,
CVIU(62), 1995, pp. 164-176.
BibRef
Green, K.,
Eggert, D.,
Stark, L.,
Bowyer, K.,
Generic Recognition Of Articulated Objects Through Reasoning About Potential Function,
CVIU(62), 1995, pp. 177-193.
BibRef
Bogoni, L.,
Bajcsy, R.,
Interactive Recognition And Representation Of Functionality,
CVIU(62), 1995, pp. 194-214.
BibRef
Mao, J.,
Flynn, P.J.,
Jain, A.K.,
Integration Of Multiple Feature Groups And Multiple Views Into A 3d Object Recognition System,
CVIU(62), 1995, pp. 309-325.
BibRef
Dickinson, S.J.,
Metaxas, D.,
Integrating Qualitative And Quantitative Shape Recovery,
IJCV(13), 1994, pp. 311-330.
BibRef
Murase, H.,
Nayar, S.K.,
Visual Learning And Recognition Of 3-D Objects From Appearance,
IJCV(14), 1995, pp. 5-24.
BibRef
Maybank, S.J.,
Probabilistic Analysis Of The Application Of The Cross Ratio To Model Based Vision: Misclassification,
IJCV(14), 1995, pp. 199-210.
BibRef
Grewe, L.,
Kak, A.,
Integration Of Geometric And Non-Geometric Attributes For Fast Object Recognition,
IJPRAI(8), 1994, pp. 1407-1437.
BibRef
Gros, P.,
Matching And Clustering: Two Steps Toward Automatic Object Modeling In Computer Vision,
IJRR(14), 1995, pp. 633-642.
BibRef
Sutton, M.,
Stark, L.,
Bowyer, K.,
Gruff-3: Generalizing The Domain Of A Function-Based Recognition System,
PR(27), 1994, pp. 1743-1766.
BibRef
Vetter, T.,
Poggio, T.,
Symmetric 3d Objects Are An Easy Case For 2d Object Recognition,
SV(8), 1994, pp. 443-453.
BibRef
Murase, H.,
Nayar, S.K.,
Illumination Planning For Object Recognition Using Parametric Eigenspaces,
T-PAMI(16), 1994, pp. 1219-1227.
BibRef
Wheeler, M.D.,
Ikeuchi, K.,
Sensor Modeling, Probabilistic Hypothesis Generation, And Robust Localization For Object Recognition,
T-PAMI(17), 1995, pp. 252-265.
BibRef
Olson, C.F.,
Probabilistic Indexing For Object Recognition,
T-PAMI(17), 1995, pp. 518-522.
BibRef
Shashua, A.,
Algebraic Functions For Recognition,
T-PAMI(17), 1995, pp. 779-789.
BibRef
Basri, R.,
Jacobs, D.,
Recognition Using Region Correspondences,
ICCV 95(8-15).
BibRef
Rao, R.P.N.,
Ballard, D.H.,
Object Indexing Using An Iconic Sparse Distributed Memory,
ICCV 95(24-31).
BibRef
Zisserman, A.,
Mundy, J.,
Forsyth, D.,
Liu, J.,
Pillow, N.,
Rothwell, C.,
Utcke, S.,
Class-Based Grouping In Perspective Images,
ICCV 95(183-188).
BibRef
Nagao, K.,
Recognizing 3d Objects Using Photometric Invariant,
ICCV 95(480-487).
BibRef
Shimshoni, I.,
Ponce, J.,
Probabilistic 3d Object Recognition,
ICCV 95(488-493).
BibRef
Vijaykumar, B.,
Kriegman, D.J.,
Ponce, J.,
Invariant-Based Recognition Of Complex Curved 3d Objects From Image Contours,
ICCV 95(508-514).
BibRef
Wu, X.,
Bhanu, B.,
Gabor Wavelets For 3-D Object Recognition,
ICCV 95(537-542).
BibRef
Bebis, G.,
Georgiopoulos, M.,
da~Vitoria Lobo, N.,
Learning Geometric Hashing Functions For Model Based Object Recognition,
ICCV 95(543-548).
BibRef
Slater, D.,
Healey, G.,
Combining Color And Geometric Information For The Illumination Invariant Recognition Of 3-D Objects,
ICCV 95(563-568).
BibRef
Mukherjee, S.,
Nayar, S.K.,
Automatic Generation Of Grbf Networks For Visual Learning,
ICCV 95(794-800).
BibRef
Olson, C.F.,
Huttenlocher, D.P.,
Recognition By Matching Dense, Oriented Edge Pixels,
ISCV 95(91-96).
BibRef
Costa, M.S.,
Shapiro, L.G.,
Scene Analysis Using Appearance-Based Models And Relational Indexing,
ISCV 95(103-108).
BibRef
Sengupta, K.,
Boyer, K.L.,
Using Geometric Hashing With Information Theoretic Clustering For Fast Recognition From A Large Cad Modelbase,
ISCV 95(151-156).
BibRef
Weinshall, D.,
Werman, M.,
Disambiguation Techniques For Recognition In Large Databases And For Under-Constrained Reconstruction,
ISCV 95(425-430).
BibRef
Olson, C.F.,
On The Speed And Accuracy Of Object Recognition When Using Imperfect Grouping,
ISCV 95(449-454).
BibRef
Chapter on Rosenfeld Bibliography for 1995 continues in
A.1. Other topics .