We present an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences. In common with recent work [10, 14, 16]
Along this pipeline, Zhou et al. REF presented an unsupervised learning framework for the task of monocular depth and camera motion estimation from unstructured video sequences based on image warping to evaluate the image error.
Unsupervised Learning of Depth and Ego-Motion from Video
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Computer Science