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Hierarchical Normalization for Robust Monocular depth Estimation from books.google.com
Convolutional neural networks have shown a remarkable ability to estimate depth from a single image.
Hierarchical Normalization for Robust Monocular depth Estimation from books.google.com
Depth sensing is critical for many robotic tasks such as localization, mapping and obstacle detection.
Hierarchical Normalization for Robust Monocular depth Estimation from books.google.com
... 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 ...
Hierarchical Normalization for Robust Monocular depth Estimation from books.google.com
This book focuses on challenging issues in the field of AI-based image and video processing and recognition, including the topics of AI-based image processing, understanding, recognition, compression, and reconstruction; AI-based video ...
Hierarchical Normalization for Robust Monocular depth Estimation from books.google.com
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.
Hierarchical Normalization for Robust Monocular depth Estimation from books.google.com
This book is an important resource for professionals, scientists, researchers, academics, and software engineers in image/video processing and computer vision.
Hierarchical Normalization for Robust Monocular depth Estimation from books.google.com
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.