On the accuracy of point localisation in a circular camera-array
暂无分享,去创建一个
[1] Sundeep Rangan,et al. Recursive consistent estimation with bounded noise , 2001, IEEE Trans. Inf. Theory.
[2] Vivek K. Goyal,et al. Quantized Overcomplete Expansions in IRN: Analysis, Synthesis, and Algorithms , 1998, IEEE Trans. Inf. Theory.
[3] Andrea Cavallaro,et al. Multi-Camera Networks: Principles and Applications , 2009 .
[4] G. Westheimer,et al. Light distribution in the image formed by the living human eye. , 1962, Journal of the Optical Society of America.
[5] Martin Vetterli,et al. Detecting planar surface using a light-field camera with application to distinguishing real scenes from printed photos , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[6] Martin Vetterli,et al. Reduction of the MSE in R-times oversampled A/D conversion O(1/R) to O(1/R2) , 1994, IEEE Trans. Signal Process..
[7] Tsuhan Chen,et al. Spectral analysis for sampling image-based rendering data , 2003, IEEE Trans. Circuits Syst. Video Technol..
[8] Vladimir Kolmogorov,et al. Multi-camera Scene Reconstruction via Graph Cuts , 2002, ECCV.
[9] Minh N. Do,et al. Ieee Transactions on Image Processing on the Bandwidth of the Plenoptic Function , 2022 .
[10] Harry Shum,et al. Plenoptic sampling , 2000, SIGGRAPH.
[11] Jake K. Aggarwal,et al. Stochastic Analysis of Stereo Quantization Error , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[12] Harit P. Trivedi. Can multiple views make up for lack of camera registration? , 1988, Image Vis. Comput..
[13] Martin Vetterli,et al. Scale-invariant representation of light field images for object recognition and tracking , 2013, Electronic Imaging.
[14] Hamid R. Rabiee,et al. A Bayesian Approach to the Data Description Problem , 2012, AAAI.
[15] Shahin Sirouspour,et al. Active multi-camera object recognition in presence of occlusion , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[16] Mike Brookes,et al. On the Spectrum of the Plenoptic Function , 2014, IEEE Transactions on Image Processing.
[17] Martin Vetterli,et al. LCAV-31: a dataset for light field object recognition , 2013, Electronic Imaging.
[18] E. Adelson,et al. The Plenoptic Function and the Elements of Early Vision , 1991 .
[19] Antonio Ortega,et al. Efficient quantization for overcomplete expansions in RN , 2003, IEEE Trans. Inf. Theory.
[20] S. Pizer,et al. The Image Processing Handbook , 1994 .
[21] Karl C. Walli,et al. Plenoptic camera range finding , 2013, 2013 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).
[22] Zhan Yu,et al. Lytro camera technology: theory, algorithms, performance analysis , 2013, Electronic Imaging.
[23] Marc Levoy,et al. High performance imaging using large camera arrays , 2005, ACM Trans. Graph..
[24] Antonio Ortega,et al. EFFICIENT QUANTIZATION FOR OVERCOMPLETE EXPANSIONS IN , 2000 .
[25] D BlosteinSteven,et al. Error Analysis in Stereo Determination of 3-D Point Positions , 1987 .
[26] Antonio Ortega,et al. Efficient quantization for overcomplete expansions in R/sup N/ , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).
[27] Ajay Divakaran,et al. Multi-camera calibration, object tracking and query generation , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).
[28] Zoran Cvetkovic. Source coding with quantized redundant expansions: accuracy and reconstruction , 1999, Proceedings DCC'99 Data Compression Conference (Cat. No. PR00096).
[29] Steven D. Blostein,et al. Error Analysis in Stereo Determination of 3-D Point Positions , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Shree K. Nayar,et al. PiCam , 2013, ACM Trans. Graph..
[31] G. Healey,et al. Face recognition in hyperspectral images - Pattern Analysis and Machine Intelligence, IEEE Transactions on , 2001 .
[32] J. Y. S. Luh,et al. A Three-Dimensional Vision by Off-Shelf System with Multi-Cameras , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.