Quantization error in stereo imaging system with noise distributions

作     者：Deepika Saini Sanjeev Kumar 

作者机构：Department of Mathematics Graphic Era Deemed to be University DehradunUttarakhand 248002India Department of Mathematics Indian Institute of Technology RoorkeeRoorkee 247667India 

出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)

年 卷 期：2020年第11卷第5期

页      面：86-117页

核心收录：

学科分类：07[理学] 070201[理学-理论物理] 0701[理学-数学] 0702[理学-物理学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Quantization error stereo images noise distributions range estimation error range error magnitude relative range error 

摘      要：The problem of estimating quantization error in 2D images is an inherent problem in computer vision.The outcome of this problem is directly related to the error in reconstructed 3D position coordinates of an object.Thus estimation of quantization error has its own importance in stereo vision.Although the quantization error cannot be controlled fully,still statistical error analysis helps us to measure the performance of stereo systems that relies on the imaging parameters.Generally,it is assumed that the quantization error in 2D images is distributed uniformly that need not to be true from a practical aspect.In this paper,we have incorporated noise distributions(Triangular and Trapezoidal)for the stochastic error analysis of the quantization error in stereo imaging systems.For the validation of the theoretical analysis,the detailed simulation study is carried out by considering different cases.