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CVPR
1999
IEEE
15 years 17 days ago
Object Recognition with Color Cooccurrence Histograms
We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain sep...
Peng Chang, John Krumm
CVPR
2004
IEEE
15 years 17 days ago
Wide Baseline Feature Matching Using the Cross-Epipolar Ordering Constraint
? Robust feature matching across different views of the same scene taken by two cameras with wide baseline and arbitrary rotation is still an open problem. Matching based on appear...
Xiaoye Lu, Roberto Manduchi
CVPR
2004
IEEE
15 years 17 days ago
Using Plane + Parallax for Calibrating Dense Camera Arrays
A light field consists of images of a scene taken from different viewpoints. Light fields are used in computer graphics for image-based rendering and synthetic aperture photograph...
Vaibhav Vaish, Bennett Wilburn, Neel Joshi, Marc L...
CVPR
2005
IEEE
15 years 17 days ago
Coherent Regions for Concise and Stable Image Description
We present a new method for summarizing images for the purposes of matching and registration. We take the point of view that large, coherent regions in the image provide a concise...
Jason J. Corso, Gregory D. Hager
CVPR
2005
IEEE
15 years 17 days ago
A Tensor Decomposition for Geometric Grouping and Segmentation
While spectral clustering has been applied successfully to problems in computer vision, their applicability is limited to pairwise similarity measures that form a probability matr...
Venu Madhav Govindu