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» Highly Discriminative Invariant FEatures for Image Matching
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PAMI
2007
161views more  PAMI 2007»
15 years 1 months ago
High-Performance Rotation Invariant Multiview Face Detection
Abstract—Rotation invariant multiview face detection (MVFD) aims to detect faces with arbitrary rotation-in-plane (RIP) and rotationoff-plane (ROP) angles in still images or vide...
Chang Huang, Haizhou Ai, Yuan Li, Shihong Lao
PAMI
2007
156views more  PAMI 2007»
15 years 1 months ago
Selection and Fusion of Color Models for Image Feature Detection
—The choice of a color model is of great importance for many computer vision algorithms (e.g., feature detection, object recognition, and tracking) as the chosen color model indu...
Harro M. G. Stokman, Theo Gevers
CVPR
2004
IEEE
15 years 5 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
ECCV
2010
Springer
15 years 7 months ago
Rotation invariant non-rigid shape matching in cluttered scenes
Abstract. This paper presents a novel and efficient method for locating deformable shapes in cluttered scenes. The shapes to be detected may undergo arbitrary translational and rot...
ICIP
2006
IEEE
16 years 3 months ago
Invariant Geometric Representation of 3D Point Clouds for Registration and Matching
Though implicit representations of surfaces have often been used for various computer graphics tasks like modeling and morphing of objects, it has rarely been used for registratio...
Soma Biswas, Gaurav Aggarwal, Rama Chellappa