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.
This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020.
This work is a technical introduction to TOF sensors, from architectural and design issues, to selected image processing and computer vision methods.
This book constitutes the refereed post-conference proceedings of the 5th International Conference on Cognitive Systems and Signal Processing, ICCSIP 2020, held in Zhuhai, China, in December 2020.
The goal of this review is to provide an overview of the diverse concepts and ideas on the way towards more general techniques than traditional photometric stereophonic.
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 ...
The two-volume set of LNCS 11941 and 11942 constitutes the refereed proceedings of the 8th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2019, held in Tezpur, India, in December 2019.
The book brings together researchers and practitioners from computer graphics, computer vision, broadcasting and motion pictures, to offer a broad perspective on all current areas of research related to the production of high quality 3-D ...
This two-volume set of LNCS 12188 and 12189 constitutes the refereed proceedings of the 14th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2020, held as part of the 22nd International Conference, HCI ...
... dataset. This paper has the following contributions: – We propose a novel monocular depth estimator, which decomposes a metric depth map into a normalized depth map ... Monocular Metric Depth Estimation 2.2 Relative Depth Estimation.