DocumentCode
3524518
Title
Three-dimensional object recognition based intelligence system for identification
Author
Chowdhary, Chiranji Lal ; Muatjitjeja, Kanguana ; Jat, Dharm Singh
Author_Institution
Sch. of Inf. Technol. & Eng., VIT Univ., Vellore, India
fYear
2015
fDate
17-20 May 2015
Firstpage
162
Lastpage
166
Abstract
If we compare the object recognition abilities of human and computer-based system, it is much complex task for a machine. Human brain can recognize an object quickly but for a computer system accuracy depends on the level of algorithms, software and tools used for recognition. Image processing, pattern recognition and compute vision are being challenging but becomes a crucial component for developing such a computer system in the modern digital world. Last four decades many researchers offered many algorithms to recognize objects from an image. If knowledge is acquired, how objects are appearing and an image to be identified from those objects. The intelligent system must be able to recognize different objects from the scenes or images. In this paper, we present a three-dimensional object recognition system based intelligence system to identify individuals.
Keywords
computer vision; object recognition; computer vision; computer-based system; human brain; human-based system; image processing; individual identification; intelligence system; pattern recognition; three-dimensional object recognition; Artificial intelligence; Computer vision; Detectors; Face; Object recognition; Shape; Three-dimensional displays; histogram of oriented gradients; pre-processing; scale invariant feature transform; surveillance camera; three dimensional object recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Emerging Trends in Networks and Computer Communications (ETNCC), 2015 International Conference on
Conference_Location
Windhoek
Print_ISBN
978-1-4799-7706-2
Type
conf
DOI
10.1109/ETNCC.2015.7184827
Filename
7184827
Link To Document