4.15.2 A.1. Recognition

Chapter Contents (Back)

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 .

Last update:Jun 7, 2018 at 10:14:50