... dataset, Monocular Depth Estimation and Segmentation (MODES)2 and the trained model are publicly available. 2. Related. Work. A depth image is a channel of an RGB image in which each pixel corresponds to the separation between the image ...
... depth estimation, depth from object-associated keypoints and depth from object height approaches to achieve state-of ... Kaggle competition “Peking University/Baidu - Autonomous Driving” [19] at the beginning of 2020. In contrast ...
... estimation from unlabelled depth data? in International Conference on 3D Vision (3DV) (Qingdao, China, 2017) 33. B ... monocular RGB camera. Expert Syst. Appl. 136, 327–337 (2019) 36. L. Zheng, B. Liang, A. Jiang, Recent advances ...
... kaggle.com/datasets/roshea6/finger-digits-05 18. Park M , Hasan MM , Kim J , Chae O ( 2012 ) Hand detection and tracking using depth ... estimation and scene parsing . CoRR . arXiv : 1805.04409 30. Yao Z , Pan Z , Xu S ( 2013 ) Wrist ...
This is becoming the central tool for image analysis, understanding, and visualization in both medical and scientific applications. Medical Image Registration provid
The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods.
Broad in coverage and accessible in style, the text presents original perspectives collected from preeminent researchers gathered from across the world.
Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the ...
This book includes the original, peer reviewed research articles from the 2nd International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA 2020), held in August, 2020 at Goa, India.