Integrated three-dimensional reconstruction using reflectance fields
A method to obtain three-dimensional data of real-world objects by integrating their material properties is presented. The material properties are defined by capturing the Reflectance Fields of the real-world objects. It is shown, unlike conventional reconstruction methods, the method is able to use the reflectance information to recover surface depth for objects having a non-Lambertian surface reflectance. It is, for recovering 3D data of objects exhibiting an anisotropic BRDF with an error less than 0.3%.
Keywords: Three-dimensional reconstruction, Reflectance fields, Computer Vision, Computer Graphics
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ABOUT THE AUTHORS
Maria-Luisa Rosas
First Author obtained her B.Eng. in Computer Science at the UPAEP (University of Puebla) in Puebla, Mexico, in 2002. She obtained a M.Sc. in Computer Science at the INAOE (National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico) in 2004. For two years (2006-2008), she worked in Prefixa Vision Systems (Puebla, Mexico) where she developed a 3D Camera. Since 2008 she is a Ph.D student in the Computer Science department at the INAOE. She is an inventor of the patent: Method and apparatus for rapid three-dimensional restoration. Her current research interests are computer vision, computer graphics, FPGA and CUDA architectures, robotics and genetic algorithms
Miguel-Octavio Arias
Second Author obtained his B.Eng. in Communications and Electronics at the FIMEE (University of Guanajuato) in Salamanca, Gto. in 1990. He also obtained a M.Eng. in Instrumentation and Digital Systems at the FIMEE two years later. In 1997, he finished his Ph.D. degree at the Computer Vision and Systems Laboratory of Université Laval (Quebec city, Canada). He was a professor-researcher at the Computer and Systems Laboratory at Laval University where he worked on the development of a Smart Vision Camera. Since 1998 he is with the Computer Science department of INAOE (National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico) where he continues his research on FPGA architectures for computer vision.
Maria-Luisa Rosas
First Author obtained her B.Eng. in Computer Science at the UPAEP (University of Puebla) in Puebla, Mexico, in 2002. She obtained a M.Sc. in Computer Science at the INAOE (National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico) in 2004. For two years (2006-2008), she worked in Prefixa Vision Systems (Puebla, Mexico) where she developed a 3D Camera. Since 2008 she is a Ph.D student in the Computer Science department at the INAOE. She is an inventor of the patent: Method and apparatus for rapid three-dimensional restoration. Her current research interests are computer vision, computer graphics, FPGA and CUDA architectures, robotics and genetic algorithms
Miguel-Octavio Arias
Second Author obtained his B.Eng. in Communications and Electronics at the FIMEE (University of Guanajuato) in Salamanca, Gto. in 1990. He also obtained a M.Eng. in Instrumentation and Digital Systems at the FIMEE two years later. In 1997, he finished his Ph.D. degree at the Computer Vision and Systems Laboratory of Université Laval (Quebec city, Canada). He was a professor-researcher at the Computer and Systems Laboratory at Laval University where he worked on the development of a Smart Vision Camera. Since 1998 he is with the Computer Science department of INAOE (National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico) where he continues his research on FPGA architectures for computer vision.
