A Query Driven Computer Vision System: A Paradigm for Hierarchical Control Strategies during the Recognition Process of Three-Dimensional Visually Perceived Objects.

1986 ◽  
Author(s):  
Ruzena Bajcsy
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Control Strategies ◽  
Hierarchical Control ◽  
Three Dimensional ◽  
Computer Vision System ◽  
Recognition Process ◽  
System A

scholarly journals OUTLINING A RELEVANT UNDERGRADUATE COURSE ON COMPUTER VISION

2012 ◽  
Author(s):  
Gabriel Thomas
Keyword(s):  
Computer Vision ◽  
Mobile Devices ◽  
Vision System ◽  
Computer Vision System ◽  
System A ◽  
Software And Hardware

Having offered a computer vision course as a 4th year undergraduate elective for almost a decade now prompt me to re-evaluate it, not just with the idea of adding new trends seen at international symposia on a yearly basis but evaluating the course taking into consideration what can be seen as needed outside academia and within academia as a preparation for industry jobs and further studies and research. Thus, this paper suggests the different topics that such a course must cover in order to have a strong background on the necessary steps needed to successfully implement a computer vision system. A discussion regarding software and hardware tools involves what I perceive to be an importance towards covering computer vision based on mobile devices.

Computer Vision Based Classification on Commercial Videos

2017 ◽  
pp. 105-135
Author(s):  
B. Rebecca Jeya Vadhanam ◽  
Mohan S. ◽  
V. Sugumaran ◽  
Vani V. ◽  
V. V. Ramalingam
Keyword(s):  
Computer Vision ◽  
Information Processing ◽  
Technology Integration ◽  
Visual Perception ◽  
Embedded Systems ◽  
Vision System ◽  
Three Dimensional ◽  
Computer Vision System ◽  
Essential Information ◽  
Utility Concept

Computer vision is a study which is concerned with automatic mining, analysis, perception, and extraction of the essential information from a single frame or image and a sequence of frames. It focuses on the development of automatic visual perception systems to reconstruct and interpret a three-dimensional scene from two-dimensional images through the properties of the structures in the scene. This is a challenging task for the contemporary computer vision system. Hence, this chapter explores the essential information, processing, analysis, and understanding necessary for computer vision. This enables users to retrieve product-based advertisement content and efficient browsing of desired shows. The final goal of this chapter is to design electronic embedded systems focused on technology integration with a domestic utility concept.

scholarly journals Computer Vision System: A Better Tool for Assessing Pork and Beef Colour than a Standard Colourimeter

2020 ◽  
Vol 61 (2) ◽  
pp. 153-160
Author(s):  
Bojana Milovanović ◽  
Ilija Đekić ◽  
Bartosz Sołowiej ◽  
Saša Novaković ◽  
Vesna Đorđevic ◽  
...  
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Computer Vision System ◽  
System A

Computer vision system: a tool for evaluating the quality of wheat in a grain tank

2018 ◽  
Author(s):  
Ivan Konovalenko ◽  
Aleksandr Shkanaev ◽  
Uryi Minkin ◽  
Aleksei Panchenko ◽  
Dmitry Putintsev ◽  
...  
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Computer Vision System ◽  
System A

Computer vision system for three-dimensional inspection

1994 ◽  
Author(s):  
Francisco Penafiel ◽  
Luis Fernandez ◽  
Pascual Campoy ◽  
Rafael Aracil
Keyword(s):  
Computer Vision ◽  
Vision System ◽  
Three Dimensional ◽  
Computer Vision System ◽  
Dimensional Inspection

scholarly journals Measurement of Gem Colour Using a Computer Vision System: A Case Study with Jadeite-Jade

Minerals ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 791
Author(s):  
Sufei Zhang ◽  
Ying Guo
Keyword(s):  
Computer Vision ◽  
Regression Model ◽  
Vision System ◽  
Expert Group ◽  
Group Test ◽  
System A ◽  
Real Objects ◽  
Practical Tool ◽  
Almost All

This paper introduces computer vision systems (CVSs), which provides a new method to measure gem colour, and compares CVS and colourimeter (CM) measurements of jadeite-jade colour in the CIELAB space. The feasibility of using CVS for jadeite-jade colour measurement was verified by an expert group test and a reasonable regression model in an experiment involving 111 samples covering almost all jadeite-jade colours. In the expert group test, more than 93.33% of CVS images are considered to have high similarities with real objects. Comparing L*, a*, b*, C*, h, and ∆E* (greater than 10) from CVS and CM tests indicate that significant visual differences exist between the measured colours. For a*, b*, and h, the R2 of the regression model for CVS and CM was 90.2% or more. CVS readings can be used to predict the colour value measured by CM, which means that CVS technology can become a practical tool to detect the colour of jadeite-jade.

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