Abstract

Nowadays the systems able to recognize objects are very important. They become more expected every day. We meet that kind of technologies everywhere. Medicine use them for diagnostic purposes, for remote manipulation with devices in surgery, military services use them for testing and simulation, social services automate process using special industrial robots with computer vision, video surveillance systems need for analyzing input stream and making decisions. Because of the relevance of this area, there exists a lot of works on this topic. Objects live and interact in 3D dimension, not in 2D dimension images taken from cameras. This issue requires technologies, methods and algorithms that allow to get camera captures from 3D scenes and extracting information by analyzing data. This article presents the project for 3D object recognition and location in real scene. System is implemented with the help of Kinect camera.

Keywords:
Computer science Process (computing) Artificial intelligence Computer vision Object (grammar) Dimension (graph theory) Relevance (law) Robot Cognitive neuroscience of visual object recognition Human–computer interaction

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
7
Refs
0.08
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Human Pose and Action Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Human Motion and Animation
Physical Sciences →  Engineering →  Control and Systems Engineering

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