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» Categorization by Learning and Combining Object Parts
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CVPR
2010
IEEE
15 years 6 months ago
Many-to-one Contour Matching for Describing and Discriminating Object Shape
We present an object recognition system that locates an object, identifies its parts, and segments out its contours. A key distinction of our approach is that we use long, salien...
Praveen Srinivasan, Qihui Zhu, Jianbo Shi
PAMI
2006
185views more  PAMI 2006»
15 years 9 days ago
Generic Object Recognition with Boosting
This paper explores the power and the limitations of weakly supervised categorization. We present a complete framework that starts with the extraction of various local regions of e...
Andreas Opelt, Axel Pinz, Michael Fussenegger, Pet...
IROS
2009
IEEE
206views Robotics» more  IROS 2009»
15 years 7 months ago
A hybrid approach for grasping 3D objects
— The paper presents a novel strategy that learns to associate a grasp to an unknown object/task. A hybrid approach combining empirical and analytical methods is proposed. The em...
Anis Sahbani, Sahar El-Khoury
100
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CVPR
2010
IEEE
15 years 17 days 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
SAC
2004
ACM
15 years 5 months ago
Combining analysis and synthesis in a model of a biological cell
for ideas, and then abstract away from these ideas to produce algorithmic processes that can create problem solutions in a bottom-up manner. We have previously described a top-dow...
Ken Webb, Tony White