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» Graph-Theoretical Methods in Computer Vision
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CVPR
2008
IEEE
16 years 9 months ago
Simultaneous super-resolution and feature extraction for recognition of low-resolution faces
Face recognition degrades when faces are of very low resolution since many details about the difference between one person and another can only be captured in images of sufficient...
Pablo H. Hennings-Yeomans, Simon Baker, B. V. K. V...
CVPR
2008
IEEE
16 years 9 months ago
Segmentation by transduction
This paper addresses the problem of segmenting an image into regions consistent with user-supplied seeds (e.g., a sparse set of broad brush strokes). We view this task as a statis...
Florent Ségonne, Jean Ponce, Jean-Yves Audi...
CVPR
2008
IEEE
16 years 9 months ago
Sequential sparsification for change detection
This paper presents a general method for segmenting a vector valued sequence into an unknown number of subsequences where all data points from a subsequence can be represented wit...
Necmiye Ozay, Mario Sznaier, Octavia I. Camps
CVPR
2008
IEEE
16 years 9 months ago
Re-thinking non-rigid structure from motion
We present a novel approach to non-rigid structure from motion (NRSFM) from an orthographic video sequence, based on a new interpretation of the problem. Existing approaches assum...
Vincent Rabaud, Serge Belongie
CVPR
2008
IEEE
16 years 9 months ago
Context-aware clustering
Most existing methods of semi-supervised clustering introduce supervision from outside, e.g., manually label some data samples or introduce constrains into clustering results. Thi...
Junsong Yuan, Ying Wu