Bayesian optical flow with uncertainty quantification
نویسندگان
چکیده
منابع مشابه
Statistical Inverse Formulation of Optical Flow with Uncertainty Quantification
Optical flow refers to the visual motion observed between two consecutive images. Since the degree of freedom is typically much larger than the constraints imposed by the image observations, the straightforward formulation of optical flow inference is an ill-posed problem. By setting some type of additional “regularity” constraints, classical approaches formulate a well-posed optical flow infer...
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Optical flow can be used to compute motion detection, time to collision, structure, focus of expansion as well as object segmentation. Unfortunately, most optical flow techniques do not provide accurate and dense measures that are useful for these types of computations. In addition, most techniques are also slow computationally. Albeit, one method proposed by Camus is able to perform optical fl...
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ژورنال
عنوان ژورنال: Inverse Problems
سال: 2018
ISSN: 0266-5611,1361-6420
DOI: 10.1088/1361-6420/aad7cc