OTHER
A Case Study of Object Identification Using a Kinect Sensor
Zheng-Yang Huang, Jung-Tang Huang, Chih-Ming Hsu
- Year
- 2013
- Citations
- 3
Abstract
The RGB camera and LIDAR have been applied in object identification for robots. However, Kinect has changed this situation. Because of the wide use of three-dimensional (3D) processing, the point cloud library (PCL) now enables people to easily use in a 3D environment. Iterative closest point (ICP) is an ideal method for identifying a target, but it involves first reconstructing an object. Therefore, this paper presents an alternative method using geometry of surface for identifying the features of an object and differentiating it from other objects.
Keywords
Point cloudComputer visionArtificial intelligenceIterative closest pointComputer scienceObject (grammar)Identification (biology)RGB color modelRobotCognitive neuroscience of visual object recognition
Related papers
OTHER
📊 26,957 cites
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
PERCEPTION
📊 22,245 cites
Artificial intelligence: a modern approach
1995
OTHER
Open access📊 20,501 cites
Fractional Differential Equations
Igor Podlubný
2025
OTHER
📊 18,993 cites
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991