This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Implementation of auto-rectification and depth estimation of stereo video in a real-time smart camera system
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
Xinting Gao, NXP Semiconductors, Corporate I&T / Research, High Tech Campus 32, 5656AE Eindhoven, The Netherlands
Richard Kleihorst, NXP Semiconductors, Corporate I&T / Research, High Tech Campus 32, 5656AE Eindhoven, The Netherlands
Ben Schueler, NXP Semiconductors, Corporate I&T / Research, High Tech Campus 32, 5656AE Eindhoven, The Netherlands
In this paper, we present a real-time, low power, and wireless embedded stereo vision system. The system consists of WiCa board (Wireless Camera board) and the methods developed using a smart camera processor, IC3D. IC3D is an SIMD video-analysis processor that has 320 processor elements. The proposed auto-rectification method is suitable for a parallel stereo system like WiCa. It is based on the matching of a planar background. After rectification, the two images of the background are coincident with each other, i.e., both the vertical and horizontal disparity of the background plane is removed. Then a dense matching method is implemented to achieve the depth map of the foreground object. Left-to-right checking and reliability checking is applied to reduce the error of the estimated depth. The system runs at 30fps and handles disparity up to 37 pixels in CIF (320×240 pixels) mode.
Citation:
Xinting Gao, Richard Kleihorst, Ben Schueler, "Implementation of auto-rectification and depth estimation of stereo video in a real-time smart camera system," cvprw, pp.1-7, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
Usage of this product signifies your acceptance of the Terms of Use.