OPTIMAL BRIGHTNESS FUNCTIONS FOR OPTICAL-FLOW ESTIMATION OF DEFORMABLE MOTION

作     者：DENNEY, TS PRINCE, JL 

作者机构：Image Analysis and Communications Laboratory Department of Electrical and Computer Engineering Johns Hopkins University Baltimore MD USA 

出 版 物：《IEEE TRANSACTIONS ON IMAGE PROCESSING》 (IEEE Trans Image Process)

年 卷 期：1994年第3卷第2期

页      面：178-191页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Whitaker Foundation 

主　　题：Brightness Image motion analysis Motion estimation Fluid flow measurement Optical imaging Magnetic resonance imaging Motion measurement Computational modeling Standards development 

摘      要：Estimation accuracy of Horn and Schunck s classical optical Bow algorithm depends on many factors including the brightness pattern of the measured images. Since some applications can select brightness functions with which to paint the object, it is desirable to know what patterns will lead to the best motion estimates. In this paper we present a method for determining this pattern a priori using mild assumptions about the velocity field and imaging process. Our method is based on formulating Horn and Schunck s algorithm as a linear smoother and rigorously deriving an expression for the corresponding error covariance function. We then specify a scalar performance measure and develop an approach to select an optimal brightness function which minimizes this performance measure from within a parametrized class. Conditions for existence of an optimal brightness function are also given. The resulting optimal performance is demonstrated using simulations, and a discussion of these results and potential future research is given.