IEEE Trans Image Process. 2014 May;23(5):2328-42. doi: 10.1109/TIP.2014.2316420.
Disparity estimation is a fundamental task in stereo imaging and is a well-studied problem. Recently, methods have been adapted to the video domain where motion is used as a matching criterion to help disambiguate spatially similar candidates. In this paper, we analyze the validity of the underlying assumptions of spatio-temporal disparity estimation, and determine the extent to which motion aids the matching process. By analyzing the error signal for spatio-temporal block matching under the sum of squared differences criterion and treating motion as a stochastic process, we determine the probability of a false match as a function of image features, motion distribution, image noise, and number of frames in the spatio-temporal patch. This performance quantification provides insight into when spatio-temporal matching is most beneficial in terms of the scene and motion, and can be used as a guide to select parameters for stereo matching algorithms. We validate our results through simulation and experiments on stereo video.
视差估计是立体成像的基本任务，也是一个研究得很好的问题。最近，人们已经将该方法应用于视频领域，在视频领域中，运动被用作匹配标准，以帮助消除空间相似的候选对象的歧义。在本文中，我们分析了时空视差估计的基本假设的有效性，并确定了运动在多大程度上有助于匹配过程。通过分析在均方和差准则下的时空块匹配的误差信号，并将运动视为随机过程，我们确定了错误匹配的概率作为图像特征、运动分布、图像噪声和时空块中帧数的函数。这种性能量化提供了有关在场景和运动方面何时时空匹配最有益的见解，并可用于指导选择立体匹配算法的参数。我们通过对立体视频的模拟和实验验证了我们的结果。
