Nonstructured light-based sensing for 3D reconstruction
Pattern Recognition
Data simulation of Matérn type
WSEAS Transactions on Computers
FGN based telecommunication traffic models
WSEAS Transactions on Computers
Target tracking for mobile robot platforms via object matching and background anti-matching
Robotics and Autonomous Systems
Traffic flow speed controller design of automated freeway system
ACC'10 Proceedings of the 2010 international conference on Applied computing conference
A transfer method of public transport networks by adjacency matrix
ACC'10 Proceedings of the 2010 international conference on Applied computing conference
WSEAS Transactions on Circuits and Systems
Active vision in robotic systems: A survey of recent developments
International Journal of Robotics Research
Visual impact enhancement via image histogram smoothing and continuous intensity relocation
Computers and Electrical Engineering
The design of a vision-based motion performance system
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Saliency-guided compressive sensing approach to efficient laser range measurement
Journal of Visual Communication and Image Representation
Real-time structured light coding for adaptive patterns
Journal of Real-Time Image Processing
Simultaneous image color correction and enhancement using particle swarm optimization
Engineering Applications of Artificial Intelligence
Robust depth sensing with adaptive structured light illumination
Journal of Visual Communication and Image Representation
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Structured light vision systems have been successfully used for accurate measurement of 3D surfaces in computer vision. However, their applications are mainly limited to scanning stationary objects so far since tens of images have to be captured for recovering one 3D scene. This paper presents an idea for real-time acquisition of 3D surface data by a specially coded vision system. To achieve 3D measurement for a dynamic scene, the data acquisition must be performed with only a single image. A principle of uniquely color-encoded pattern projection is proposed to design a color matrix for improving the reconstruction efficiency. The matrix is produced by a special code sequence and a number of state transitions. A color projector is controlled by a computer to generate the desired color patterns in the scene. The unique indexing of the light codes is crucial here for color projection since it is essential that each light grid be uniquely identified by incorporating local neighborhoods so that 3D reconstruction can be performed with only local analysis of a single image. A scheme is presented to describe such a vision processing method for fast 3D data acquisition. Practical experimental performance is provided to analyze the efficiency of the proposed methods.