This book gathers selected high-impact articles from the 2nd International Conference on Data Science, Machine Learning & Applications 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.
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.
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.
... monocular depth estimation only requires monocular video sequences or stereo image pairs to realize the depth information estimation of each pixel of a single image [5–7]. In recent years, unsupervised monocular depth estimation have ...
Monocular Model-Based 3D Tracking of Rigid Objects reviews the different techniques and approaches that have been developed by industry and research.
... monocular distance estimation and abnormal behaviour detection, which is combine the monocular detection model and the proposed distance detection algorithm to estimate the distance. By comparing the detected distance with the set defense ...
... models and finally techniques using deep neural networks trained in various ways to estimate depth from a single image. 2.4.1. Handcrafted. Features. While binocular vision is ... Monocular Depth Estimation 2.4.1 Handcrafted Features.
The two-volume set LNCS 8935 and 8936 constitutes the thoroughly refereed proceedings of the 21st International Conference on Multimedia Modeling, MMM 2015, held in Sydney, Australia, in January 2015.
... Monocular depth estimation. ·. Self-supervised learning. ·. Laparoscopic images. 1. Introduction. The significance of depth ... models and realize surgical technique training [18]. Learning-based approaches have significantly improved ...