Reference TypeConference Proceedings
Citation KeySilvaSimoBhar:2000:MuCoSt
Author1 Silva, JosÚ Demisio Sim§es
2 Simoni, Paulo Ouvera
3 Bharadwaj, Kamal Kant
TitleMultiple correspondences in stereo vision under a genetic algorithm approach
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI)
EditorCarvalho, Paulo Cezar Pinto
Walter, Marcelo
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado, RS, Brazil
Keywordsstereo image processing, stereo vision multiple correspondences, genetic algorithm, multiple point hierarchical approach, computer vision, low-level processing, area-and-token hybrid method, search, experimental results.
AbstractThis paper presents a multiple point hierarchical approach to the stereo correspondence problem in computer vision. The low-level processing employs an area-and-token hybrid method to obtain, for distinctive points in one image, a set of points in the other image that are candidates for correspondence. The refinement of the set of low-level correspondences obtained is performed by a high-level N-point simultaneous correspondence process, a new constraint introduced for this problem. The high-level processing uses a genetic algorithm approach for searching the solution space. Experimental results show the effectiveness of the method on real world scenes.
NotesThe conference was held in Gramado, RS, Brazil, from October 17 to 20.
OrganizationSBC - Brazilian Computer Society
Tertiary TypeFull Paper
Size584 KiB
Number of Files1
Target File52-59.pdf
Last Update2002: administrator
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