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CVPR
2008
IEEE
16 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
PAMI
2006
227views more  PAMI 2006»
15 years 6 months ago
Matching 2.5D Face Scans to 3D Models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...
Xiaoguang Lu, Anil K. Jain, Dirk Colbry
CVPR
2004
IEEE
16 years 9 months ago
3D Facial Tracking from Corrupted Movie Sequences
In this paper we perform 3D face tracking on corrupted video sequences. We use a deformable model, combined with a predictive filter, to recover both the rigid transformations and...
Siome Goldenstein, Christian Vogler, Dimitris N. M...
ECCV
2002
Springer
16 years 8 months ago
SoftPOSIT: Simultaneous Pose and Correspondence Determination
The problem of pose estimation arises in many areas of computer vision, including object recognition, object tracking, site inspection and updating, and autonomous navigation when...
Philip David, Daniel DeMenthon, Ramani Duraiswami,...
ICPR
2006
IEEE
16 years 8 months ago
A Novel Segmentation and Recognition Algorithm for Chinese Handwritten Address Character Strings
This paper presents a new method for segmenting and recognizing Chinese handwritten address character strings. First, a dissection algorithm is applied to over-segment string imag...
Qiang Fu, Tong Liu, X. Q. Ding, Yan Jiang, Zheng R...