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» Unsupervised Texture Segmentation
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AIPR
2005
IEEE
14 years 2 months ago
Face Recognition Using Multispectral Random Field Texture Models, Color Content, and Biometric Features
Most of the available research on face recognition has been performed using gray scale imagery. This paper presents a novel two-pass face recognition system that uses a Multispect...
Orlando J. Hernandez, Mitchell S. Kleiman

Publication
286views
13 years 10 months ago
 Stereo analysis of low textured regions with application towards sea-ice reconstruction
Images with large areas of low texture pose significant challenge to stereo algorithms. We propose a novel segmentation based stereo scheme tuned to handle such scenes. We combine ...
Rohith MV, Gowri Somanath, Chandra Kambhamettu, Ca...
ICIP
2002
IEEE
14 years 10 months ago
Video object articulation using depth-based content segmentation approaches
In this paper two efficient unsupervised video object segmentation approaches are proposed and then extensively compared in terms of computational cost and quality of segmentation...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
VIP
2003
13 years 10 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
ICASSP
2011
IEEE
13 years 25 days ago
Integrating frame-based and segment-based dynamic time warping for unsupervised spoken term detection with spoken queries
Rapidly increasing quantities of multimedia and spoken content today demand fast and accurate retrieval approaches for convenient browsing. The spoken documents with wide variety ...
Chun-an Chan, Lin-Shan Lee