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» Highly Discriminative Invariant FEatures for Image Matching
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ECCV
2006
Springer
16 years 1 months ago
High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
Tracking the 3-D pose of an object needs correspondences between 2-D features in the image and their 3-D counterparts in the object model. A large variety of such features has been...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
ICARCV
2002
IEEE
126views Robotics» more  ICARCV 2002»
15 years 4 months ago
Gesture recognition using a probabilistic framework for pose matching
This paper presents an approach for view-based recognition of gestures. The approach is based on representing each gesture as a sequence of learned body poses. The gestures are re...
Ahmed M. Elgammal, Vhay Shet, Yaser Yacoob, Larry ...
3DIM
2005
IEEE
15 years 5 months ago
Unsupervised 3D Object Recognition and Reconstruction in Unordered Datasets
This paper presents a system for fully automatic recognition and reconstruction of 3D objects in image databases. We pose the object recognition problem as one of finding consist...
Matthew Brown, David G. Lowe
CRV
2007
IEEE
137views Robotics» more  CRV 2007»
15 years 6 months ago
Quantitative Evaluation of Feature Extractors for Visual SLAM
We present a performance evaluation framework for visual feature extraction and matching in the visual simultaneous localization and mapping (SLAM) context. Although feature extra...
Jonathan Klippenstein, Hong Zhang
CVPR
2008
IEEE
16 years 1 months ago
Discriminative learning of visual words for 3D human pose estimation
This paper addresses the problem of recovering 3D human pose from a single monocular image, using a discriminative bag-of-words approach. In previous work, the visual words are le...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...