A GPU-based adaptive algorithm for non-rigid surface registration

• Autor(a) principal: Souza, Antonio Carlos dos Santos
• Data de Publicação: 2015
• Outros Autores: Macedo, Márcio Cerqueira de Farias, Apolinário Júnior, Antonio Lopes
• Tipo de documento: Artigo de conferência
• Idioma: eng
• Título da fonte: Repositório Institucional da UFBA
• Texto Completo: http://repositorio.ufba.br/ri/handle/ri/21058

Non-rigid surface registration is fundamental when accurate tracking or reconstruction of 3D deformable shapes is desirable. However, the majority of non-rigid registration methods are not as fast as the ones developed in the field of rigid registration. Fast methods for non-rigid surface registration are particularly interesting for markerless augmented reality applications, in which the object being used as marker can support non-rigid user interaction. In this paper, we present an adaptive algorithm for non-rigid surface registration. Taking advantage from this adaptivity and the parallelism of the GPU, we show that the proposed algorithm is capable to achieve near real-time performance with an approach as accurate as the ones proposed in the literature.