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Type: Artigo de evento
Title: Generation Of Dense Disparity Maps In Stereo Vision
Author: De Almeida Nogueira F.M.
Tozzi C.L.
Abstract: This paper presents an approach for stereo image matching that results in a dense and non-smooth disparity map. In the first step, a feature-based matching technique is applied and the obtained sparse disparity map is interpolated. In the second step the disparities in the smooth interpolated map are iteratively adjusted using an area-based matching technique and the disparity gradient. The obtained results show that disparities for non-smooth surfaces can be more accurately determined improving the description of three-dimensional scenes.
Rights: fechado
Identifier DOI: 
Date Issue: 2002
Appears in Collections:Unicamp - Artigos e Outros Documentos

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