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With the developments of dual-lens camera modules,depth information representing the third dimension of thecaptured scenes becomes available for smartphones. It isestimated by stereo matching algorithms, taking as input thetwo views…

Computer Vision and Pattern Recognition · Computer Science 2018-09-27 Ruichao Xiao , Wenxiu Sun , Jiahao Pang , Qiong Yan , Jimmy Ren

With the spread of e-commerce, the logistics market is growing around the world. Therefore, improving the efficiency of warehouse operations is essential. To achieve this, various approaches have been explored, and among them, the use of…

Computer Vision and Pattern Recognition · Computer Science 2025-10-23 Yuki Mori , Kazuma Kano , Yusuke Asai , Shin Katayama , Kenta Urano , Takuro Yonezawa , Nobuo Kawaguchi

A pseudoscopic (inverted depth) image made with spiral diffracting elements intermediated by a pinhole is explained by its symmetry properties. The whole process is made under common white light illumination and allows the projection of…

Optics · Physics 2009-11-13 Jose J. Lunazzi , Noemi I. R. Rivera , Daniel S. F. Magalhaes

Document images are now widely captured by handheld devices such as mobile phones. The OCR performance on these images are largely affected due to geometric distortion of the document paper, diverse camera positions and complex backgrounds.…

Computer Vision and Pattern Recognition · Computer Science 2022-03-22 Guo-Wang Xie , Fei Yin , Xu-Yao Zhang , Cheng-Lin Liu

Accurate calibration of camera intrinsic parameters is crucial to various computer vision-based applications in the fields of intelligent systems, autonomous vehicles, etc. However, existing calibration schemes are incompetent for finding…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Hsin-Yi Chen , Chuan-Kai Fu , Jen-Hui Chuang

Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common approach to relative pose estimation is to apply a minimal solver inside a RANSAC loop. Highly efficient…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Charalambos Tzamos , Viktor Kocur , Yaqing Ding , Torsten Sattler , Zuzana Kukelova

The common approach to radial distortion is by the means of polynomial approximation, which introduces distortion-specific parameters into the camera model and requires estimation of these distortion parameters. The task of estimating…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Lili Ma , YangQuan Chen , Kevin L. Moore

In this paper we explore the role of duality principles within the problem of rotation averaging, a fundamental task in a wide range of computer vision applications. In its conventional form, rotation averaging is stated as a minimization…

Computer Vision and Pattern Recognition · Computer Science 2017-11-30 Anders Eriksson , Carl Olsson , Fredrik Kahl , Tat-Jun Chin

Depth from defocus and defocus deblurring from a single image are two challenging problems that are derived from the finite depth of field in conventional cameras. Coded aperture imaging is one of the techniques that is used for improving…

Computer Vision and Pattern Recognition · Computer Science 2016-03-15 Mina Masoudifar , Hamid Reza Pourreza

Structure and continuous motion estimation from point correspondences is a fundamental problem in computer vision that has been powered by well-known algorithms such as the familiar 5-point or 8-point algorithm. However, despite their…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Hang Su , Yunlong Feng , Daniel Gehrig , Panfeng Jiang , Ling Gao , Xavier Lagorce , Laurent Kneip

Camera calibration is a crucial step in photogrammetry and 3D vision applications. This paper introduces a novel camera calibration method using a designed collimator system. Our collimator system provides a reliable and controllable…

Computer Vision and Pattern Recognition · Computer Science 2025-12-19 Shunkun Liang , Banglei Guan , Zhenbao Yu , Dongcai Tan , Pengju Sun , Zibin Liu , Qifeng Yu , Yang Shang

Calibration in a multi camera network has widely been studied for over several years starting from the earlier days of photogrammetry. Many authors have presented several calibration algorithms with their relative advantages and…

Computer Vision and Pattern Recognition · Computer Science 2010-11-03 Ayan Chaudhury , Abhishek Gupta , Sumita Manna , Subhadeep Mukherjee , Amlan Chakrabarti

We account for all the image distortions relevant to weak gravitational lensing to second order. Besides the familiar shear, convergence, rotation and flexions, we find a new image distortion with two distinct descriptions, the twist and…

Astrophysics · Physics 2013-03-07 David J. Bacon , Bjoern Malte Schaefer

The common approach to radial distortion is by the means of polynomial approximation, which introduces distortion-specific parameters into the camera model and requires estimation of these distortion parameters. The task of estimating…

Computer Vision and Pattern Recognition · Computer Science 2007-05-23 Lili Ma , YangQuan Chen , Kevin L. Moore

Many studies have been conducted so far on image restoration, the problem of restoring a clean image from its distorted version. There are many different types of distortion which affect image quality. Previous studies have focused on…

Computer Vision and Pattern Recognition · Computer Science 2019-04-09 Masanori Suganuma , Xing Liu , Takayuki Okatani

We present a derivation for estimating the roll and pitch orientation of a partially calibrated camera mounted above a planar surface, using minimal scene information. Specifically, we assume known intrinsic parameters and a fixed height…

Computer Vision and Pattern Recognition · Computer Science 2025-07-29 Gergely Dinya , Anna Gelencsér-Horváth

Geometric calibration of cameras and projectors is an essential step that must be performed before any imaging system can be used. There are many well-known geometric calibration methods for calibrating systems comprised of multiple…

Computer Vision and Pattern Recognition · Computer Science 2024-10-25 Tomislav Petkovic , Simone Gasparini , Tomislav Pribanic

Several approaches to image stitching use different constraints to estimate the motion model between image pairs. These constraints can be roughly divided into two categories: geometric constraints and photometric constraints. In this…

Computer Vision and Pattern Recognition · Computer Science 2018-09-19 Kai Chen , Jingmin Tu , Binbin Xiang , Li Li , Jian Yao

Camera calibration is a crucial step in photogrammetry and 3D vision applications. In practical scenarios with a long working distance to cover a wide area, target-based calibration methods become complicated and inflexible due to site…

Computer Vision and Pattern Recognition · Computer Science 2024-10-01 Shunkun Liang , Banglei Guan , Zhenbao Yu , Pengju Sun , Yang Shang

This paper introduces a general approach to dynamic scene reconstruction from multiple moving cameras without prior knowledge or limiting constraints on the scene structure, appearance, or illumination. Existing techniques for dynamic scene…

Computer Vision and Pattern Recognition · Computer Science 2015-10-01 Armin Mustafa , Hansung Kim , Jean-Yves Guillemaut , Adrian Hilton