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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

The recent years have given rise to a large number of techniques for "looking around corners", i.e., for reconstructing occluded objects from time-resolved measurements of indirect light reflections off a wall. While the direct view of…

Image and Video Processing · Electrical Eng. & Systems 2023-07-19 Jonathan Klein , Martin Laurenzis , Matthias B. Hullin , Julian Iseringhausen

Photometric stereo (PS) techniques nowadays remain constrained to an ideal laboratory setup where modeling and calibration of lighting is amenable. To eliminate such restrictions, we propose an efficient principled variational approach to…

Computer Vision and Pattern Recognition · Computer Science 2019-08-29 Bjoern Haefner , Zhenzhang Ye , Maolin Gao , Tao Wu , Yvain Quéau , Daniel Cremers

The wavefront is scrambled when coherent light propagates through a random scattering medium and which makes direct use of the conventional optical methods ineffective. In this paper, we propose and demonstrate a structured light…

Images taken under the low-light condition often contain blur and saturated pixels at the same time. Deblurring images with saturated pixels is quite challenging. Because of the limited dynamic range, the saturated pixels are usually…

Computer Vision and Pattern Recognition · Computer Science 2023-08-11 Liang Chen , Jiawei Zhang , Zhenhua Li , Yunxuan Wei , Faming Fang , Jimmy Ren , Jinshan Pan

This paper describes a linear solution method for near-light photometric stereo by exploiting symmetric light source arrangements. Unlike conventional non-convex optimization approaches, by arranging multiple sets of symmetric nearby light…

Computer Vision and Pattern Recognition · Computer Science 2026-03-18 Lilika Makabe , Heng Guo , Hiroaki Santo , Fumio Okura , Yasuyuki Matsushita

In recent years, limited research has discussed the loss function in the super-resolution process. The majority of those studies have only used perceptual similarity conventionally. This is while the development of appropriate loss can…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Arash Chaichi Mellatshahi , Shohreh Kasaei

Illuminating a scene with artificial light is a prerequisite for seeing in dark environments. However, nonuniform and dynamic illumination can deteriorate or even break computer vision approaches, for instance when operating a robot with…

Computer Vision and Pattern Recognition · Computer Science 2020-06-30 Yifan Song , Furkan Elibol , Mengkun She , David Nakath , Kevin Köser

Photometric stereo recovers the surface normals of an object from multiple images with varying shading cues, i.e., modeling the relationship between surface orientation and intensity at each pixel. Photometric stereo prevails in superior…

Computer Vision and Pattern Recognition · Computer Science 2024-02-02 Yakun Ju , Kin-Man Lam , Wuyuan Xie , Huiyu Zhou , Junyu Dong , Boxin Shi

A resolution-enhanced dark-field microscope by structured light illumination is proposed to improve resolution and contrast. A set of phase-shifted fringes are projected to the sample plane at large angle to capture modulated dark-field…

Image and Video Processing · Electrical Eng. & Systems 2022-02-14 Shaobai Li , Bofan Song , Rongguang Liang

Photometric pipelines struggle to estimate both the flux and flux uncertainty for stars in the presence of structured backgrounds such as filaments or clouds. However, it is exactly stars in these complex regions that are critical to…

Instrumentation and Methods for Astrophysics · Physics 2022-07-20 Andrew K. Saydjari , Douglas P. Finkbeiner

Image editing and compositing have become ubiquitous in entertainment, from digital art to AR and VR experiences. To produce beautiful composites, the camera needs to be geometrically calibrated, which can be tedious and requires a physical…

Computer Vision and Pattern Recognition · Computer Science 2023-07-28 Yannick Hold-Geoffroy , Dominique Piché-Meunier , Kalyan Sunkavalli , Jean-Charles Bazin , François Rameau , Jean-François Lalonde

Retrieving accurate 3D reconstructions of objects from the way they reflect light is a very challenging task in computer vision. Despite more than four decades since the definition of the Photometric Stereo problem, most of the literature…

Computer Vision and Pattern Recognition · Computer Science 2021-10-13 Fotios Logothetis , Ignas Budvytis , Roberto Mecca , Roberto Cipolla

Optical tweezers have been widely used for optical manipulation of various particles. At present, there are different type of optical tweezers. Among them, holographic optical tweezers have attracted growing attention as a powerful tools…

Optics · Physics 2025-02-12 Yida Song , Zhengshu Zhang , Yi Shen , Xionggui Tang

In applications like medical imaging, error correction, and sensor networks, one needs to solve large-scale linear systems that may be corrupted by a small number of arbitrarily large corruptions. We consider solving such large-scale…

Numerical Analysis · Mathematics 2018-12-27 Jamie Haddock , Deanna Needell

This paper tackles the task of uncalibrated photometric stereo for 3D object reconstruction, where both the object shape, object reflectance, and lighting directions are unknown. This is an extremely difficult task, and the challenge is…

Computer Vision and Pattern Recognition · Computer Science 2022-07-19 Junxuan Li , Hongdong Li

Spatial filtering is a commonly deployed technique to improve the quality of laser beams by optically filtering the noise. In the "textbook" example, the noise is usually assumed to be high frequency and the laser beam, Gaussian. In this…

Optics · Physics 2021-02-03 Jonathan Pinnell , Asher Klug , Andrew Forbes

Research interest in rapid structured-light imaging has grown increasingly for the modeling of moving objects, and a number of methods have been suggested for the range capture in a single video frame. The imaging area of a 3D object using…

Computer Vision and Pattern Recognition · Computer Science 2015-09-01 Changsoo Je , Kwang Hee Lee , Sang Wook Lee

Structured Illumination Microscopy is a widespread methodology to image live and fixed biological structures smaller than the diffraction limits of conventional optical microscopy. Using recent advances in image up-scaling through deep…

Image and Video Processing · Electrical Eng. & Systems 2021-02-19 Miguel Boland , Edward A. K. Cohen , Seth Flaxman , Mark A. A. Neil

Most current single image camera calibration methods rely on specific image features or user input, and cannot be applied to natural images captured in uncontrolled settings. We propose directly inferring camera calibration parameters from…

Computer Vision and Pattern Recognition · Computer Science 2018-04-24 Yannick Hold-Geoffroy , Kalyan Sunkavalli , Jonathan Eisenmann , Matt Fisher , Emiliano Gambaretto , Sunil Hadap , Jean-François Lalonde