A novel depth computation algorithm is described. Based on linear equations derived from the consideration of relative normal velocity, this algorithm determines depth values locally and uniquely from normal velocities. Multiple independently moving objects present no problem for the algorithm. A velocity constraint is implemented to estimate normal velocities from intensity images. Experiments to determine depth values from both synthetic images and real images are presented. The experiments show that the depth-recovery algorithm can recover correct values from intensity images. The accuracy of the depth values depends heavily on the accuracy of the normal velocities.<>
Depth from dynamic stereo images
1989-01-01
497526 byte
Conference paper
Electronic Resource
English
Recurrent MuSti-view Stereo Depth Inference with Pyramid of Images
British Library Conference Proceedings | 2022
|Robust occupancy detection from stereo images
IEEE | 2004
|DEM Generation From Stereo AVNIR Images
British Library Conference Proceedings | 2000
|