Convolutional neural networks have shown a remarkable ability to estimate depth from a single image.

Depth sensing is critical for many robotic tasks such as localization, mapping and obstacle detection.

... deep learning for monocular depth map prediction. In: Conference on Computer Vision and Pattern Recognition (CVPR), pp. 2215–2223 (2017) Ladický, L., Shi, J., Pollefeys, M.: Pulling things out of perspective. In: Conference on Computer ...

This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods.

This book is an important resource for professionals, scientists, researchers, academics, and software engineers in image/video processing and computer vision.

The two-volume set LNCS 11961 and 11962 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2020, held in Daejeon, South Korea, in January 2020.

The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020.

... estimation design using adaptive pixel truncation See Entry 122894 ... depth estimation and segmentation in monocular sequences Adaptive ... robust decoding of MPEG compressed video Normalization schemes in a neural network image ...