Title : 
Simultaneous Localization and Calibration: Self-Calibration of Consumer Depth Cameras
         
        
            Author : 
Qian-Yi Zhou ; Koltun, Vladlen
         
        
            Author_Institution : 
Stanford Univ., Stanford, CA, USA
         
        
        
        
        
        
            Abstract : 
We describe an approach for simultaneous localization and calibration of a stream of range images. Our approach jointly optimizes the camera trajectory and a calibration function that corrects the camera´s unknown nonlinear distortion. Experiments with real-world benchmark data and synthetic data show that our approach increases the accuracy of camera trajectories and geometric models estimated from range video produced by consumer-grade cameras.
         
        
            Keywords : 
calibration; nonlinear distortion; video cameras; video signal processing; camera trajectory; camera unknown nonlinear distortion; consumer depth camera self-calibration; consumer-grade cameras; geometric models; range images; range video; real-world benchmark data; simultaneous calibration function; simultaneous localization; synthetic data; Calibration; Cameras; Image reconstruction; Nonlinear distortion; Optimization; Trajectory; Vectors;
         
        
        
        
            Conference_Titel : 
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on
         
        
            Conference_Location : 
Columbus, OH
         
        
        
            DOI : 
10.1109/CVPR.2014.65