타이틀 |
A Method for Eliminating Noise from Multiple Images for Reconstructing 3-D Objects |
저자 |
Susumu Yoshikawa, Toshio Isobe, Kohzo Homma |
Keyword |
Computer Vision; Image Processing; Eliminating Noise; Reconstruction of 3-D objects; Stereo-Vision |
URL |
http://send.nal.go.jp/send/jpn/dlpdf.php3/naltr0001354.pdf?id=NALTR0001354 |
보고서번호 |
NAL TR-1354 |
발행년도 |
1998.8 |
출처 |
NAL (National Aerospace Laboratory of Japan) |
ABSTRACT |
Reconstructing 3-D objects from image data is one of the most important problems in enabling a robot to recognize the environment and work independently in a rocket. As the basis for reconstructing 3-D objects, a new method for identifying edges in images is presented. This method consists of the following three subprocedures: (1) Differences of b using multi image data obtained by a camera moving on a rail. An experimental camera system has been constructed in order to confirm the theoretical consideration, and various examples have been tested. The results show that almost all noise can be recognized and eliminated. |