Back to Search
Start Over
Surface Construction from Kinect RGB-D Stream
- Source :
- DASC/PiCom/DataCom/CyberSciTech
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- An object surface extraction from a set of point clouds extracted using a Kinect V2 sensor is presented here. First several point clouds are extracted from different angles around the object. Second point clouds are registered with each other using the Iterative Closest Point algorithm. If the angle between two camera positions is large, point clouds are manually rough aligned. Then iterative closest point algorithm provides a finer alignment. Next the object boundary is found enclosing all the points in the aligned and merged point cloud. After that a triangular mesh is created with the boundary points. Finally colors acquired from the original point cloud are applied on the triangular surface generated. For a better visual effect colors of the points are interpolated on the triangular mesh generated.
- Subjects :
- Surface (mathematics)
Computer science
business.industry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Point cloud
Boundary (topology)
Iterative closest point
020206 networking & telecommunications
02 engineering and technology
Solid modeling
Electronic mail
Computer graphics (images)
Triangle mesh
0202 electrical engineering, electronic engineering, information engineering
Bicubic interpolation
020201 artificial intelligence & image processing
Computer vision
Artificial intelligence
business
ComputingMethodologies_COMPUTERGRAPHICS
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE 14th Intl Conf on Dependable, Autonomic and Secure Computing, 14th Intl Conf on Pervasive Intelligence and Computing, 2nd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech)
- Accession number :
- edsair.doi...........5047b86a5ba62b8570655f9824faddbc