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» Learning Feature Distance Measures for Image Correspondences
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CVPR
2007
IEEE
14 years 11 months ago
On Constructing Facial Similarity Maps
Automatically determining facial similarity is a difficult and open question in computer vision. The problem is complicated both because it is unclear what facial features humans ...
Alex Holub, Yun-hsueh Liu, Pietro Perona
WSDM
2010
ACM
261views Data Mining» more  WSDM 2010»
14 years 6 months ago
Learning Similarity Metrics for Event Identification in Social Media
Social media sites (e.g., Flickr, YouTube, and Facebook) are a popular distribution outlet for users looking to share their experiences and interests on the Web. These sites host ...
Hila Becker, Mor Naaman, Luis Gravano
3DPVT
2004
IEEE
126views Visualization» more  3DPVT 2004»
14 years 27 days ago
Helmholtz Stereopsis on Rough and Strongly Textured Surfaces
Helmholtz Stereopsis (HS) has recently been explored as a promising technique for capturing shape of objects with unknown reflectance. So far, it has been widely applied to object...
Jean-Yves Guillemaut, Ondrej Drbohlav, Radim S&aac...
ECCV
2002
Springer
14 years 11 months ago
Hierarchical Shape Modeling for Automatic Face Localization
Many approaches have been proposed to locate faces in an image. There are, however, two problems in previous facial shape models using feature points. First, the dimension of the s...
Ce Liu, Heung-Yeung Shum, Changshui Zhang
FGR
2000
IEEE
159views Biometrics» more  FGR 2000»
14 years 1 months ago
Gesture Modeling and Recognition Using Finite State Machines
This paper proposes a state based approach to gesture learning and recognition. Using spatial clustering and temporal alignment, each gesture is defined to be an ordered sequence ...
Pengyu Hong, Thomas S. Huang, Matthew Turk