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ECCV
2006
Springer
14 years 6 months ago
Region Covariance: A Fast Descriptor for Detection and Classification
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICIP
2004
IEEE
14 years 6 months ago
Modulation-feature based textured image segmentation using curve evolution
In this paper we incorporate recent results from AM-FM models for texture analysis into the variational model of image segmentation and examine the potential benefits of using the...
Iasonas Kokkinos, Georgios Evangelopoulos, Petros ...
ICIAP
1997
ACM
13 years 9 months ago
Unsupervised Texture Segmentation Using Feature Distributions
This paper presents an unsupervised texture segmentation method, which uses distributions of local binary patterns and pattern contrasts for measuring the similarity of adjacent i...
Timo Ojala, Matti Pietikäinen
ICPR
2008
IEEE
13 years 11 months ago
Unsupervised dynamic texture segmentation using local spatiotemporal descriptors
Dynamic texture (DT) is an extension of texture to the temporal domain. In this paper, we address the problem of segmenting DT into disjoint regions in an unsupervised way. Each r...
Jie Chen, Guoying Zhao, Matti Pietikäinen
EVOW
2007
Springer
13 years 11 months ago
Unsupervised Evolutionary Segmentation Algorithm Based on Texture Analysis
Abstract. This work describes an evolutionary approach to texture segmentation, a long-standing and important problem in computer vision. The difficulty of the problem can be relat...
Cynthia B. Pérez, Gustavo Olague