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» Highly Discriminative Invariant FEatures for Image Matching
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CVPR
2006
IEEE
16 years 8 months ago
Recognize High Resolution Faces: From Macrocosm to Microcosm
Human faces manifest distinct structures and characteristics when observed in different scales. Traditional face recognition techniques mainly rely on low-resolution face images, ...
Dahua Lin, Xiaoou Tang
PAMI
2010
417views more  PAMI 2010»
15 years 4 months ago
Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation
The notion of using context information for solving high-level vision and medical image segmentation problems has been increasingly realized in the field. However, how to learn a...
Zhuowen Tu, Xiang Bai
CVPR
2010
IEEE
15 years 6 months ago
High performance object detection by collaborative learning of Joint Ranking of Granules features
Object detection remains an important but challenging task in computer vision. We present a method that combines high accuracy with high efficiency. We adopt simplified forms of...
Chang Huang, Ramakant Nevatia
IJCV
2006
145views more  IJCV 2006»
15 years 6 months ago
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
We present a novel Object Recognition approach based on affine invariant regions. It actively counters the problems related to the limited repeatability of the region detectors, an...
Vittorio Ferrari, Tinne Tuytelaars, Luc J. Van Goo...
189
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EVOW
2007
Springer
15 years 10 months ago
Scale Invariance for Evolved Interest Operators
Abstract. This work presents scale invariant region detectors that apply evolved operators to extract an interest measure. We evaluate operators using their repeatability rate, and...
Leonardo Trujillo, Gustavo Olague