Authors:
Suvam Patra
;
Brojeshwar Bhowmick
;
Subhashis Banerjee
and
Prem Kalra
Affiliation:
Indian Institute of Technology Delhi, India
Keyword(s):
Kinect, Resolution Enhancement, Graph Cut, Normalized Cross Correlation, Photo Consistency, VGA, HD.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Geometry and Modeling
;
Image Formation and Preprocessing
;
Image-Based Modeling
;
Multimodal and Multi-Sensor Models of Image Formation
;
Pattern Recognition
;
Software Engineering
Abstract:
This paper describes a methodology for obtaining a high resolution dense point cloud using Kinect (Smisek et al., 2011) and HD cameras. Kinect produces a VGA resolution photograph and a noisy point cloud. But high resolution images of the same scene can easily be obtained using additional HD cameras. We combine the information to generate a high resolution dense point cloud. First, we do a joint calibration of Kinect and the HD cameras using traditional epipolar geometry (Hartley and Zisserman, 2004). Then we use the sparse point cloud obtained from Kinect and the high resolution information from the HD cameras to produce a dense point cloud in a registered frame using graph cut optimization. Experimental results show that this approach can significantly enhance the resolution of the Kinect point cloud.