Position estimation and error quantification: an epipolar geometry based approach (2006)
Source: Anais. Conference titles: Conferência Internacional de Aplicações Industriais. Unidade: EP
Subjects: VISÃO COMPUTACIONAL, GEOMETRIA COMPUTACIONAL, ERRO (FALHAS COMPUTACIONAIS) (QUANTIFICAÇÃO), PROCESSAMENTO DE IMAGENS
ABNT
KARLSTROEM, Adriana et al. Position estimation and error quantification: an epipolar geometry based approach. 2006, Anais.. Recife: IEEE/UFPE, 2006. Disponível em: https://repositorio.usp.br/directbitstream/3ff0cd49-80e7-4939-8771-d35a63cc7e30/Takase-2006-position%20estimation%20and%20error%20quantification.pdf. Acesso em: 05 nov. 2024.APA
Karlstroem, A., Takase, F. K., Furukawa, C. M., & Maruyama, N. (2006). Position estimation and error quantification: an epipolar geometry based approach. In Anais. Recife: IEEE/UFPE. Recuperado de https://repositorio.usp.br/directbitstream/3ff0cd49-80e7-4939-8771-d35a63cc7e30/Takase-2006-position%20estimation%20and%20error%20quantification.pdfNLM
Karlstroem A, Takase FK, Furukawa CM, Maruyama N. Position estimation and error quantification: an epipolar geometry based approach [Internet]. Anais. 2006 ;[citado 2024 nov. 05 ] Available from: https://repositorio.usp.br/directbitstream/3ff0cd49-80e7-4939-8771-d35a63cc7e30/Takase-2006-position%20estimation%20and%20error%20quantification.pdfVancouver
Karlstroem A, Takase FK, Furukawa CM, Maruyama N. Position estimation and error quantification: an epipolar geometry based approach [Internet]. Anais. 2006 ;[citado 2024 nov. 05 ] Available from: https://repositorio.usp.br/directbitstream/3ff0cd49-80e7-4939-8771-d35a63cc7e30/Takase-2006-position%20estimation%20and%20error%20quantification.pdf