Towards Segmentation from Multiple Cues: Symmetry and Color

Autor:	Nahum Kiryati, Roy Shor
Rok vydání:	2001
Předmět:	business.industry Combined use ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Genetic search Compatibility (mechanics) Added value Gestalt psychology Segmentation Computer vision Artificial intelligence Face detection business Global optimization problem Mathematics
Zdroj:	Multi-Image Analysis ISBN: 9783540421221 Theoretical Foundations of Computer Vision
Popis:	Towards segmentation from multiple cues, this paper demonstrates the combined use of color and symmetry for detecting regions of interest (ROI), using the detection of man-made wooden objects and the detection of faces as working examples. A functional that unifies color compatibility and color-symmetry within elliptic supports is defined. Using this functional, the ROI detection problem becomes a five-dimensional global optimization problem. Exhaustive-search is inapplicable due its prohibitive computational cost. Genetic search converges rapidly and provides good results. The added value obtained by combining color and symmetry is demonstrated.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::294d98fe2ca5aae1174412154ddfc133 https://doi.org/10.1007/3-540-45134-x_11 Zobrazit plný text záznamu