Facial Expression Recognition in Nonvisual Imagery

Olague, Gustavo; Hammoud, Riad I.; Trujillo, Leonardo; Hernández, Benjamín; Romero, Eva

doi:10.1007/978-1-84800-277-7_10

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“…Texture-based image analysis has been successfully applied in modern applications of machine vision including image categorization [1], vision-based road following in unmanned vehicles [2], and facial feature analysis in thermal imagery [3]. Many approaches have been proposed for texture analysis and can be classified into three classes: structural, statistical and signal theoretic methods.…”

Section: Introductionmentioning

confidence: 99%

Color texture classification by a discrete statistical model and feature selection

Bouguila¹,

Hammoud

2009

2009 16th IEEE International Conference on Image Processing (ICIP)

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We propose a novel statistical approach for color texture modeling and classification based on Co-occurrence matrices and discrete finite mixture models. Our statistical model assigns relevance weights to discrete Co-occurrence features that are considered as random variables. Experimental results are presented to illustrate the merits of our approach on a difficult problem which is the categorization of the well-known Vistex color texture images database.

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Section: Introductionmentioning

confidence: 99%