3-D Reconstruction Using Mirror Images Based on a Plane Symmetry Recovering Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Weakly-calibrated stereo perception for rover navigation
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
3D Reconstruction from a Single View of an Object and Its Image in a Plane Mirror
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Extracting Realistic 3D Facial Animation Parameters from Multiview Video Clips
IEEE Computer Graphics and Applications
Tangible search for stacked objects
CHI '03 Extended Abstracts on Human Factors in Computing Systems
Reconfigurable hardware implementation of a phase-correlation stereoalgorithm
Machine Vision and Applications
Modelling and accuracy estimation of a new omnidirectional depth computation sensor
Pattern Recognition Letters
Multiperspective modeling, rendering, and imaging
ACM SIGGRAPH ASIA 2008 courses
Planar catadioptric stereo: single and multi-view geometry for calibration and localization
ICRA'09 Proceedings of the 2009 IEEE international conference on Robotics and Automation
Camera Models and Fundamental Concepts Used in Geometric Computer Vision
Foundations and Trends® in Computer Graphics and Vision
Single camera stereo system using prism and mirrors
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Video-rate stereo depth measurement on programmable hardware
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
| Hi-index | 0.14 |
It has been previously shown how mirrors can be used to capture stereo images with a single camera, an approach termed catadioptric stereo. In this paper, we present novel catadioptric sensors that use mirrors to produce rectified stereo images. The scan-line correspondence of these images benefits real-time stereo by avoiding the computational cost and image degradation due to resampling when rectification is performed after image capture. First, we develop a theory which determines the number of mirrors that must be used and the constraints on those mirrors that must be satisfied to obtain rectified stereo images with a single camera. Then, we discuss in detail the use of both one and three mirrors. In addition, we show how the mirrors should be placed in order to minimize sensor size for a given baseline, an important design consideration. In order to understand the feasibility of building these sensors, we analyze rectification errors due to misplacement of the camera with respect to the mirrors.