13 papers · ranked by Valyu relevance
Christos-Nikolaos Anagnostopoulos, Stelios Krinidis
Computer vision is a multidisciplinary field that enables machines to interpret and understand visual information from the world, simulating human vision. It encompasses a variety of tasks, including object detection, image segmentation, and image understanding, all of which have seen significant advancements due to…
Esma Dilek, Murat Dener, Sylvain Girard
As technology continues to develop, computer vision (CV) applications are becoming increasingly widespread in the intelligent transportation systems (ITS) context. These applications are developed to improve the efficiency of transportation systems, increase their level of intelligence, and enhance traffic safety.…
Daniel Schmid, Christian Jarvers, Heiko Neumann
Advanced computer vision mechanisms have been inspired by neuroscientific findings. However, with the focus on improving benchmark achievements, technical solutions have been shaped by application and engineering constraints. This includes the training of neural networks which led to the development of feature…
Renzheng Xue, Ming Liu, Xiaokun Yu
Objective The effects of different algorithms on detecting and tracking moving objects in images based on computer vision technology are studied, and the best algorithm scheme is confirmed. Methods An automatic moving target detection and tracking algorithm based on the improved frame difference method and mean-shift…
Dawei Zhang, Tingting Yang
Eye tracking is currently a research hotspot in the territory of service robotics. There is an urgent need for machine vision technique in the territory of video surveillance, and biological visual object following is one of the important basic research problems. By tracking the object of interest and recording the…
Pinhe Wang, Jianzhong Qiao, Nannan Liu
To solve the problems existing in the research of scene recognition, this paper studies a new convolutional neural network target detection model to achieve a better balance between the accuracy and speed of high-speed scene image recognition. First, aiming at the problem that the image is easy to be disturbed by…
Marian Marcel Abagiu, Dorian Cojocaru, Florin Manta, Alexandru Mariniuc + 1 more
'Alexandru Mariniuc' 'Xinyu Li'] This paper describes the implementation of a solution for detecting the machining defects from an engine block, in the piston chamber. The solution was developed for an automotive manufacturer and the main goal of the implementation is the replacement of the visual inspection performed…
Wendy Flores-Fuentes, Oleg Sergiyenko, Julio C. Rodríguez-Quiñonez, Jesús E. Miranda-Vega
Information theory is the foundation for computer vision and image processing across diverse applications. It constitutes the application of sophisticated mathematical principles to electrical engineering development for advanced research in vision systems and machine learning. Within this field of study, 3D visual…
Paul Linton, Michael J. Morgan, Jenny C. A. Read, Dhanraj Vishwanath + 2 more
'Sarah H. Creem-Regehr' 'Fulvio Domini'] New approaches to 3D vision are enabling new advances in artificial intelligence and autonomous vehicles, a better understanding of how animals navigate the 3D world, and new insights into human perception in virtual and augmented reality. Whilst traditional approaches to 3D…
Thomas Tsao, Doris Y. Tsao
Title: Significance We address a question at the foundation of natural and artificial vision: how can a visual system segment and track objects? In the real world, objects can undergo drastic changes in appearance due to deformation, perspective change, or dynamic occlusion. For example, an animal moving behind a fence…
Ping Wang, Yang-Han Lee, Hsien-Wei Tseng, Cheng-Fu Yang + 1 more
'Shyqyri Haxha'] In this paper, the paper cups were used as the research objects, and the machine vision detection technology was combined with different image processing techniques to investigate a non-contact optical automatic detection system to identify the defects of the manufactured paper cups. The combined ring…
Kongjun Bao, Yaoxi Bao
In order to study the application of image processing technology in remote monitoring and intelligent medical systems, the principle and implementation method of a remote intelligent image monitoring system based on virtual local area network is proposed; this method analyzes the key technologies to be considered in…
Benjamin Peters, James J. DiCarlo, Todd Gureckis, Ralf Haefner + 9 more
Vision is widely understood as an inference problem. However, two contrasting conceptions of the inference process have each been influential in research on biological vision as well as the engineering of machine vision. The first emphasizes bottom-up signal flow, describing vision as a largely feedforward…