Jang, Hoon-Seok Muhammad, Mannan Saeed Kang, Min-Koo 2024-01-19T18:04:44Z 2024-01-19T18:04:44Z 2021-09-04 2020-02 2169-3536 https://pubs.kist.re.kr/handle/201004/119030 Three-dimensional (3D) shape reconstruction from one or multiple observations is a primary problem of computer vision. Shape from Focus (SFF) is a passive optical method that uses multiple two-dimensional (2D) images with different focus levels. When obtaining 2D images in each step along the optical axis, mechanical vibrations, referred as jitter noise, occur. SFF techniques are vulnerable to jitter noise that can vary focus values in 2D images. In this paper, new filtering method, which provides high accuracy of 3D shape reconstruction and low computational cost, is proposed. First, jitter noise is modeled as Levy distribution. This assumption makes it possible to show the influence of proposed filtering method in real environment with non-Gaussian jitter noise. Second, focus curves are modeled as Gaussian function to compare the performance of proposed filtering method with those of the conventional filtering methods. Finally, improved maximum correntropy criterion Kalman filter (IMCC-KF) is designed as a post-processing step, and is applied to the modeled focus curves. The experiments are performed on real and synthetic objects and the results demonstrate the effectiveness of proposed method. English IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC IMAGE FOCUS 3-DIMENSIONAL SHAPE FROM-MOTION RECOVERY TEXTURE Removal of Non-Gaussian Jitter Noise for Shape From Focus Through Improved Maximum Correntropy Criterion Kalman Filter Article 10.1109/ACCESS.2020.2975274 1 IEEE ACCESS, v.8, pp.36244 - 36255 IEEE ACCESS 8 36244 36255 scie scopus 000524612800018 2-s2.0-85081117817 Computer Science, Information Systems Engineering, Electrical & Electronic Telecommunications Computer Science Engineering Telecommunications Article IMAGE FOCUS 3-DIMENSIONAL SHAPE FROM-MOTION RECOVERY TEXTURE Focus curve improved maximum correntropy criterion Kalman filter (IMCC-KF) jitter noise non-Gaussian distribution shape from focus (SFF)