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» Randomness and Geometric Features in Computer Vision
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ICPR
2004
IEEE
14 years 8 months ago
Eye Tracking Using Markov Models
We propose an eye detection and tracking method based on color and geometrical features of the human face using a monocular camera. In this method a decision is made on whether th...
A. M. Bagci, Ashfaq A. Khokhar, E. Cetin, Rashid A...
CVPR
2008
IEEE
14 years 9 months ago
Modeling complex luminance variations for target tracking
Lambert's model is widely used in low level computer vision algorithms such as matching, tracking or optical flow computation for example. However, it is well known that thes...
Éric Marchand, Christophe Collewet

Publication
285views
14 years 5 months ago
Bilateral Symmetry Detection and Segmentation via Symmetry-Growing
We present a novel and robust method for localizing and segmenting bilaterally symmetric patterns from real-world images. On the basis of symmetrically matched pairs of local featu...
Minsu Cho (Seoul National University), Kyoung Mu L...
IJDAR
2002
108views more  IJDAR 2002»
13 years 7 months ago
Document understanding for a broad class of documents
We present a document analysis system able to assign logical labels and extract the reading order in a broad set of documents. All information sources, from geometric features and ...
Marco Aiello, Christof Monz, Leon Todoran
CVPR
2005
IEEE
14 years 9 months ago
Shape Matching and Object Recognition Using Low Distortion Correspondences
We approach recognition in the framework of deformable shape matching, relying on a new algorithm for finding correspondences between feature points. This algorithm sets up corres...
Alexander C. Berg, Tamara L. Berg, Jitendra Malik