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» Robotic Grasping of Novel Objects using Vision
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ICCV
2011
IEEE
13 years 11 months ago
Robust Object Pose Estimation via Statistical Manifold Modeling
We propose a novel statistical manifold modeling approach that is capable of classifying poses of object categories from video sequences by simultaneously minimizing the intra-cla...
Liang Mei, Jingen Liu, Alfred Hero, Silvio Savares...
ICCV
2001
IEEE
16 years 1 months ago
Stripe Boundary Codes for Real-Time Structured-Light Range Scanning of Moving Objects
We present a novel approach to real-time structured light range scanning. After an analysis of the underlying assumptions of existing structured light techniques, we derive a new ...
Olaf A. Hall-Holt, Szymon Rusinkiewicz
CVPR
2005
IEEE
15 years 5 months ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang
ICCV
2011
IEEE
13 years 11 months ago
Key-Segments for Video Object Segmentation
We present an approach to discover and segment foreground object(s) in video. Given an unannotated video sequence, the method first identifies object-like regions in any frame a...
Yong Jae Lee, Jaechul Kim, Kristen Grauman
ICPR
2004
IEEE
16 years 27 days ago
Model Based Object Recognition by Robust Information Fusion
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Haifeng Chen, Ilan Shimshoni, Peter Meer