ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

Technical Program

Paper Detail

Paper:WA-P1.8
Session:Image and Video Segmentation
Time:Wednesday, October 11, 09:40 - 12:20
Presentation: Poster
Title: ACOUSTIC RANGE IMAGE SEGMENTATION BY EFFECTIVE MEAN SHIFT
Authors: Umberto Castellani; University of Verona 
 Marco Cristani; University of Verona 
 Vittorio Murino; University of Verona 
Abstract: Image perception in underwater environment is a difficult task for a human operator, and data segmentation becomes a crucial step toward an higher level interpretation and recognition of the observing scenarios. This paper contributes to the related state of the art, by fitting the mean shift clustering paradigm to the segmentation of acoustical range images, providing a segmentation approach in which whatever parameter tuning is absent. Moreover, the method exploits actively the connectivity information provided by the range map, by using reverse projection as acceleration technique. Therefore, the method is able to produce, starting from raw range data, meaningful segmented clouds of points in a fully automatic and efficient fashion.