Ego-Motion Estimation Using Optical Flow Fields Observed from Multiple Cameras

In this paper, we consider a multi-camera vision system mounted on a moving object in a static threedimensional environment. By using the motion ow elds seen by all of the cameras, an algorithm which does not need to solve the point-correspondence problem among the cameras is proposed to estimate the 3D ego-motion parameters of the moving object. Our experiments have shown that using multiple optical ow elds obtained from di erent cameras can be very helpful for ego-motion estimation.

• Type: Conference
• Year: 1997
• Where: CVPR
• Authors: An-Ting Tsao, Chiou-Shann Fuh, Yi-Ping Hung, Yong-Sheng Chen
• Keywords: Computer Vision, CVPR 1997, Motion Ow, Multiple Optical Ow, Static Threedimensional Environment