This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 2020.
... example, depth completion [38,39,55], which recovers a dense depth map from sparse depth measurements, can be performed more accurately and more reliably than monocular ... Depth Map Decomposition for Monocular Depth Estimation 19.
... Depth map via monocular dense depth sensing, used to segment out objects in the FOV, depth range target 0.3–30 m, accuracy within 1 % at 1 m, and within 10 % at 30 m – Scene labeling and pixel labeling, based on attributes of segmented ...
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 provides necessary background to develop intuition about why interest point detectors and feature descriptors actually work, how they are designed, with observations about tuning the methods for achieving robustness and invariance ...
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.
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 ...
... Monocular Depth Estimation for Elevation Classification in 2D Drone-Based Imagery Jacob Vishal, Somdeb Datta ... example, Lidar data, etc.) for estimating the elevation makes the task even more nonconventional. There are state-of ...
... example, shows a real 3D scene A and a virtual one B. For simplicity, the occlusion on the x− z plane is analyzed ... depth determination in the case of occlusion, and it must be explained that there is no need for depth ...
This book is an important resource for professionals, scientists, researchers, academics, and software engineers in image/video processing and computer vision.