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H.H. Chen, T.S. Huang, "Using Motion from Orthographic Views to Verify 3D Point Matches," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 13, no. 9, pp. 872878, September, 1991.  
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@article{ 10.1109/34.93806, author = {H.H. Chen and T.S. Huang}, title = {Using Motion from Orthographic Views to Verify 3D Point Matches}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {13}, number = {9}, issn = {01628828}, year = {1991}, pages = {872878}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.93806}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Pattern Analysis and Machine Intelligence TI  Using Motion from Orthographic Views to Verify 3D Point Matches IS  9 SN  01628828 SP872 EP878 EPD  872878 A1  H.H. Chen, A1  T.S. Huang, PY  1991 KW  image matching; 3D point matching; depth error effect; picture processing; pattern recognition; orthographic views; motion analysis; motion estimate; pattern recognition; picture processing VL  13 JA  IEEE Transactions on Pattern Analysis and Machine Intelligence ER   
The specific problem addressed by the authors is how to detect the true match of a fourth point from among candidate matches in a situation in which three points have already been matched. The two sets of points to be matched are both subject to measurement errors. The depth error is more dominant than errors in the other two coordinates; however, the exact statistical distribution of the measurement errors is not known. The authors present a new method for solving the problem. The method is based on the technique of motion analysis using orthographic views. It discards the noisy z (depth) coordinates and uses only the x and y coordinates of the points to verify the match. The effect of depth errors on the motion estimate is completely prevented. Results show that this method is substantially more effective than previous methods that use all three coordinates.
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