作者: Jiahua Wu , Robin Tillett , Nigel McFarlane , Xiangyang Ju , J.Paul Siebert
DOI: 10.1016/J.COMPAG.2004.05.003
关键词: Optics 、 Photogrammetry 、 Flatness (systems theory) 、 Three dimensional shape 、 Curvature 、 Image plane 、 Image resolution 、 Stereo imaging 、 Pixel 、 Artificial intelligence 、 Computer vision 、 Mathematics
摘要: A stereo imaging system with six high-resolution cameras (3032× 2028 pixels) and three flash units was developed to capture the 3D shapes of live pigs. The cameras were arranged in three stereo pods, which captured the side, top and rear views of each pig. The image resolution was 0.4 mm per pixel on the surface of the pig. The system was used to capture images of 32 pigs over 14 weeks as they grew from approximately 30–80kg. They were divided into two groups on different diets, in order to induce shape differences. Each …