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Image-based 3D reconstruction or 3D photogrammetry of small-scale objects including insects and biological specimens is challenging due to the use of high magnification lens with inherent limited depth of field, and the object's fine…

Computer Vision and Pattern Recognition · Computer Science 2019-12-09 Hengjia Li , Chuong Nguyen

An image captured with a wide-aperture camera exhibits a finite depth-of-field, with focused and defocused pixels. A compact and robust representation of focus and defocus helps analyze and manipulate such images. In this work, we study the…

Computer Vision and Pattern Recognition · Computer Science 2020-12-22 Parikshit Sakurikar , P. J. Narayanan

Shape from Focus (SFF) is a depth reconstruction technique that estimates scene structure from focus variations observed across a focal stack, that is, a sequence of images captured at different focus settings. A key limitation of SFF…

Computer Vision and Pattern Recognition · Computer Science 2026-04-03 Khurram Ashfaq , Muhammad Tariq Mahmood

Light field photography enables to record 4D images, containing angular information alongside spatial information of the scene. One of the important applications of light field imaging is post-capture refocusing. Current methods require for…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Shachar Ben Dayan , David Mendlovic , Raja Giryes

Light-field cameras allow the acquisition of both the spatial and angular components of the light. This has a wide range of applications from image refocusing to 3D reconstruction of a scene. The conventional way to perform such…

Depth from focus (DFF) is one of the classical ill-posed inverse problems in computer vision. Most approaches recover the depth at each pixel based on the focal setting which exhibits maximal sharpness. Yet, it is not obvious how to…

Computer Vision and Pattern Recognition · Computer Science 2018-10-30 Caner Hazirbas , Sebastian Georg Soyer , Maximilian Christian Staab , Laura Leal-Taixé , Daniel Cremers

Light field deconvolution allows three-dimensional investigations from a single snapshot recording of a plenoptic camera. It is based on a linear image formation model, and iterative volume reconstruction requires to define the…

Image and Video Processing · Electrical Eng. & Systems 2021-07-28 Martin Eberhart

Hand-held light field (LF) cameras have unique advantages in computer vision such as 3D scene reconstruction and depth estimation. However, the related applications are limited by the ultra-small baseline, e.g., leading to the extremely low…

Computer Vision and Pattern Recognition · Computer Science 2022-02-01 Xiao Huo , Dongyang Jin , Saiping Zhang , Fuzheng Yang

Camera arrays provide spatial and angular information within a single snapshot. With refocusing methods, focal planes can be altered after exposure. In this letter, we propose a light field refocusing method to improve the imaging quality…

Image and Video Processing · Electrical Eng. & Systems 2021-08-29 Yingqian Wang , Jungang Yang , Yulan Guo , Chao Xiao , Wei An

Light field reconstruction from images captured by focal plane sweeping, such as light field moment imaging (LFMI) and light field reconstruction with back projection (LFBP), can achieve high lateral resolution comparable to the modern…

Optics · Physics 2018-05-23 Haichao Wang , Ni Chen , Jingdan Liu , Guohai Situ

Focus is a cornerstone of photography, yet autofocus systems often fail to capture the intended subject, and users frequently wish to adjust focus after capture. We introduce a novel method for realistic post-capture refocusing using video…

Computer Vision and Pattern Recognition · Computer Science 2025-12-30 SaiKiran Tedla , Zhoutong Zhang , Xuaner Zhang , Shumian Xin

Capturing more information, e.g. geometry and material, using optical cameras can greatly help the perception and understanding of complex scenes. This paper proposes a novel method to capture the spectral and light field information…

Image and Video Processing · Electrical Eng. & Systems 2018-02-27 Qian Huang , Yunqian Li , Linsen Chen , Xiaoming Zhong , Jinli Suo , Zhan Ma , Tao Yue , Xun Cao

In this article we develop an image based rendering technique based on light field reconstruction from a limited set of perspective views acquired by cameras. Our approach utilizes sparse representation of epipolar-plane images in a…

Computer Vision and Pattern Recognition · Computer Science 2015-10-01 Suren Vagharshakyan , Robert Bregovic , Atanas Gotchev

This paper addresses the problem of mirror surface reconstruction, and proposes a solution based on observing the reflections of a moving reference plane on the mirror surface. Unlike previous approaches which require tedious calibration,…

Computer Vision and Pattern Recognition · Computer Science 2021-01-26 Kai Han , Miaomiao Liu , Dirk Schnieders , Kwan-Yee K. Wong

On 3D imaging, light field cameras typically are of single shot, and however, they heavily suffer from low spatial resolution and depth accuracy. In this paper, by employing an optical projector to project a group of single high-frequency…

Image and Video Processing · Electrical Eng. & Systems 2024-04-11 Geyou Zhang , Ce Zhu , Kai Liu , Yipeng Liu

A solution to the inversion problem of scattering would offer aberration-free diffraction-limited 3D images without the resolution and depth-of-field limitations of lens-based tomographic systems. Powerful algorithms are increasingly being…

Light field imaging has recently known a regain of interest due to the availability of practical light field capturing systems that offer a wide range of applications in the field of computer vision. However, capturing high-resolution light…

Computer Vision and Pattern Recognition · Computer Science 2018-01-16 Reuben A. Farrugia , Christine Guillemot

Light field reconstruction from images captured by focal plane sweeping can achieve high lateral resolution comparable to the modern camera sensor. This is impossible for the conventional micro-lenslet based light field capture systems.…

Computer Vision and Pattern Recognition · Computer Science 2017-02-15 Ni Chen , Zhenbo Ren , Dayan Li , Edmund Y. Lam , Guohai Situ

Recovering 3D geometry of underwater scenes is challenging because of non-linear refraction of light at the water-air interface caused by the camera housing. We present a light field-based approach that leverages properties of angular…

Computer Vision and Pattern Recognition · Computer Science 2022-04-06 Yuqi Ding , Zhang Chen , Yu Ji , Jingyi Yu , Jinwei Ye

Light field imaging is a rich way of representing the 3D world around us. However, due to limited sensor resolution capturing light field data inherently poses spatio-angular resolution trade-off. In this paper, we propose a deep learning…

Computer Vision and Pattern Recognition · Computer Science 2018-04-30 Anil Kumar Vadathya , Saikiran Cholleti , Gautham Ramajayam , Vijayalakshmi Kanchana , Kaushik Mitra
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