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CVPR
2007
IEEE
15 years 12 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater
ACRI
2004
Springer
15 years 3 months ago
Applying Cell-DEVS in 3D Free-Form Shape Modeling
Modeling free-form shapes in 3D spaces based on strict physical laws require a considerable amount of computation time. Previous experiences with Cellular Automata demonstrated sub...
Pengfei Wu, Xiuping Wu, Gabriel A. Wainer
VISUAL
1999
Springer
15 years 2 months ago
Highly Discriminative Invariant FEatures for Image Matching
Abstract. In this paper, we present novel image-derived, invariant features that accurately capture both the geometric and color properties of an imaged object. These features can ...
Ronald-Bryan O. Alferez, Yuan-Fang Wang
FGR
2004
IEEE
205views Biometrics» more  FGR 2004»
15 years 1 months ago
Oriented Filters for Object Recognition: an Empirical Study
Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations....
Jerry Jun Yokono, Tomaso Poggio
3DIM
2003
IEEE
15 years 3 months ago
Silhouette and Stereo Fusion for 3D Object Modeling
In this paper, we present a new approach to high quality 3D object reconstruction. Starting from a calibrated sequence of color images, the algorithm is able to reconstruct both t...
Carlos Hernández Esteban, Francis Schmitt