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» Modeling non-gaussian noise for robust image analysis
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ECCV
2002
Springer
14 years 10 months ago
Diffuse-Specular Separation and Depth Recovery from Image Sequences
Specular reflections present difficulties for many areas of computer vision such as stereo and segmentation. To separate specular and diffuse reflection components, previous approa...
Stephen Lin, Yuanzhen Li, Sing Bing Kang, Xin Tong...
MICCAI
2007
Springer
14 years 9 months ago
LOCUS: LOcal Cooperative Unified Segmentation of MRI Brain Scans
Abstract. We propose to carry out cooperatively both tissue and structure segmentations by distributing a set of local and cooperative models in a unified MRF framework. Tissue seg...
Benoit Scherrer, Michel Dojat, Florence Forbes, Ca...
CVPR
2010
IEEE
14 years 4 months ago
Breaking the interactive bottleneck in multi-class classification with active selection and binary feedback
Multi-class classification schemes typically require human input in the form of precise category names or numbers for each example to be annotated – providing this can be impra...
Ajay Joshi, Fatih Porikli, Nikolaos Papanikolopoul...
BMVC
2010
13 years 6 months ago
Local Gaussian Processes for Pose Recognition from Noisy Inputs
Gaussian processes have been widely used as a method for inferring the pose of articulated bodies directly from image data. While able to model complex non-linear functions, they ...
Martin Fergie, Aphrodite Galata
DAGM
2004
Springer
14 years 2 months ago
Estimation of Multiple Orientations at Corners and Junctions
Abstract. Features like junctions and corners are a rich source of information for image understanding. We present a novel theoretical framework for the analysis of such 2D feature...
Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth