- 著者
-
金出 武雄
蚊野 浩
木村 茂
川村 英二
吉田 收志
織田 和夫
- 出版者
- The Robotics Society of Japan
- 雑誌
- 日本ロボット学会誌 (ISSN:02891824)
- 巻号頁・発行日
- vol.15, no.2, pp.261-267, 1997-03-15
- 被引用文献数
-
15
5
A video-rate stereo machine has been developed at Carnegie Mellon University with the capability of generating a dense range map, aligned with an intensity image, at the video rate. The target performance of the CMU videorate stereo machine is: 1) multi image input of 6 cameras; 2) high throughput of 30 million point×disparity measurment per second; 3) high frame rate of 30 [frame/sec] ; 4) a dense depth map of 240×256; 5) disparity search range of up to 60 [pixel] ; 6) high precision of up to 8 [bits] (with interpolation) ; 7) uncertainty estimation available for each pixel. The stereo machine is based on a multi-baseline stereo method. The basic theory requires some extensions to allow for parallel, low-cost, high-speed machine implementation. The three major ones are: 1) the use of small integers for image data representation: 2) the use of absolute values instead of squares in the SSD computation (SAD instead of SSD) ; and 3) camera geometry compensation capability for precise camera alignment. The stereo machine successfully generates disparity map of 200×200 with 23 steps of disparity search range in the video rate.