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| G. Adiv, "Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 5, pp. 477-489, May, 1989. | |||
| BibTex | x | ||
| @article{ 10.1109/34.24780, author = {G. Adiv}, title = {Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {11}, number = {5}, issn = {0162-8828}, year = {1989}, pages = {477-489}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.24780}, 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 - Inherent Ambiguities in Recovering 3-D Motion and Structure from a Noisy Flow Field IS - 5 SN - 0162-8828 SP477 EP489 EPD - 477-489 A1 - G. Adiv, PY - 1989 KW - computer vision; 3D motion recovery; structure recovery; dynamic scene analysis; optical flow information; computer vision; parameter estimation VL - 11 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
One of the major areas in research on dynamic scene analysis is recovering 3-D motion and structure from optical flow information. Two problems which may arise due to the presence of noise in the flow field are examined. First, motion parameters of the sensor or a rigidly moving object may be extremely difficult to estimate because there may exist a large set of significantly incorrect solutions which induce flow fields similar to the correct one. The second problem is in the decomposition of the environment into independently moving objects. Two such objects may induce optical flows which are compatible with the same motion parameters, and hence, there is no way to refute the hypothesis that these flows are generated by one rigid object. These ambiguities are inherent in the sense that they are algorithm-independent. Using a mathematical analysis, situations where these problems are likely to arise are characterized. A few examples demonstrate the conclusions. Constraints and parameters which can be recovered even in ambiguous situations are presented.
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