… precision of traditional computer vision algorithms to identify steel embossing characters.
This research proposes a steel embossing character recognition method based on YOLOv2. …

… by the measurement accuracy, a theoretical analysis of the measurement accuracy at
different distances is performed and a suitable set of geometric configurations of stereo vision is …

… As a frontier technology of machine learning and artificial intelligence, deep learning has
made great achievements in speech recognition, computer vision and big data processing, and …

This paper is aimed at solving the problems that LBP feature contains outlier and the dimension
of LBP feature is too high, and a fast and effective face recognition algorithm based on …

… vision field, such as in texture analysis field, face recognition field, expression detection
field, and so on. Moreover, a number of extended methods about LBP, which are greatly …

Most of the research methods in the field of human action recognition extract relevant
features from the original video frames. These methods introduce more or less redundant …

… workers co-constructed and represented on this TV talk show. One focus of this study is to
explore the distinctive features of nongmingong ’s identities represented in the program with a …

The emergence of generative adversarial networks is another milestone in the field of
computer vision. It provides a new tool for solving various image prediction problems. For this …

… Object representation and recognition in shape spaces. Pattern Recognition, 2003, 36(5):
1143-1154[4] Huckemann S, Hotz T, Munk A. Intrinsic MANOVA for Riemannian manifolds …