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Light field imaging, which captures spatio-angular information of incident light on image sensor, enables many interesting applications like image refocusing and augmented reality. However, due to the limited sensor resolution, a trade-off…

Image and Video Processing · Electrical Eng. & Systems 2020-07-15 Chang-Le Liu , Kuang-Tsu Shih , Jiun-Woei Huang , Homer H. Chen

Light field presents a rich way to represent the 3D world by capturing the spatio-angular dimensions of the visual signal. However, the popular way of capturing light field (LF) via a plenoptic camera presents spatio-angular resolution…

Computer Vision and Pattern Recognition · Computer Science 2019-10-22 Anil Kumar Vadathya , Sharath Girish , Kaushik Mitra

We propose a method for reconstructing a continuous light field of a target scene from a single observed image. Our method takes the best of two worlds: joint aperture-exposure coding for compressive light-field acquisition, and a neural…

Computer Vision and Pattern Recognition · Computer Science 2023-11-17 Yuya Ishikawa , Keita Takahashi , Chihiro Tsutake , Toshiaki Fujii

Light-field microscopy represents a promising solution for microscopic volumetric imaging, thanks to its capability to encode information on multiple planes in a single acquisition. This is achieved through its peculiar simultaneous capture…

High angular resolution is advantageous for practical applications of light fields. In order to enhance the angular resolution of light fields, view synthesis methods can be utilized to generate dense intermediate views from sparse light…

Image and Video Processing · Electrical Eng. & Systems 2020-08-13 Yang Chen , Martin Alain , Aljosa Smolic

The Light Field Raindrop Removal (LFRR) aims to restore the background areas obscured by raindrops in the Light Field (LF). Compared with single image, the LF provides more abundant information by regularly and densely sampling the scene.…

Computer Vision and Pattern Recognition · Computer Science 2022-05-27 Dong Jing , Shuo Zhang , Song Chang , Youfang Lin

We propose a novel approach that jointly removes reflection or translucent layer from a scene and estimates scene depth. The input data are captured via light field imaging. The problem is couched as minimizing the rank of the transmitted…

Computer Vision and Pattern Recognition · Computer Science 2015-06-16 Qiaosong Wang , Haiting Lin , Yi Ma , Sing Bing Kang , Jingyi Yu

We present Neural Microfacet Fields, a method for recovering materials, geometry, and environment illumination from images of a scene. Our method uses a microfacet reflectance model within a volumetric setting by treating each sample along…

Computer Vision and Pattern Recognition · Computer Science 2023-10-18 Alexander Mai , Dor Verbin , Falko Kuester , Sara Fridovich-Keil

Light field cameras have a wide range of uses due to their ability to simultaneously record light intensity and direction. The angular resolution of light fields is important for downstream tasks such as depth estimation, yet is often…

Computer Vision and Pattern Recognition · Computer Science 2023-11-15 Langqing Shi , Ping Zhou

Calibrating displays is a basic and regular task that content creators must perform to maintain optimal visual experience, yet it remains a troublesome issue. Measuring display characteristics from different viewpoints often requires…

Computer Vision and Pattern Recognition · Computer Science 2025-10-14 Ziyang Chen , Yuta Itoh , Kaan Akşit

Radiance field methods represent the state of the art in reconstructing complex scenes from multi-view photos. However, these reconstructions often suffer from one or both of the following limitations: First, they typically represent scenes…

Computer Vision and Pattern Recognition · Computer Science 2024-11-25 Chao Wang , Krzysztof Wolski , Bernhard Kerbl , Ana Serrano , Mojtaba Bemana , Hans-Peter Seidel , Karol Myszkowski , Thomas Leimkühler

Existing methods for relightable view synthesis -- using a set of images of an object under unknown lighting to recover a 3D representation that can be rendered from novel viewpoints under a target illumination -- are based on inverse…

Computer Vision and Pattern Recognition · Computer Science 2024-11-05 Xiaoming Zhao , Pratul P. Srinivasan , Dor Verbin , Keunhong Park , Ricardo Martin Brualla , Philipp Henzler

Creating immersive 3D visual experiences typically requires expensive and specialized hardware such as VR headsets, autostereoscopic displays, or active shutter glasses. These constraints limit the accessibility and everyday use of 3D…

Graphics · Computer Science 2025-08-25 Trung Hieu Pham , Chanh Minh Tran , Eiji Kamioka , Xuan Tan Phan

In this work, we present a novel learning-based approach to synthesize new views of a light field image. In particular, given the four corner views of a light field, the presented method estimates any in-between view. We use three…

Computer Vision and Pattern Recognition · Computer Science 2021-02-19 Julia Navarro , Neus Sabater

Light field (LF) image super-resolution (SR) aims at reconstructing high-resolution LF images from their low-resolution counterparts. Although CNN-based methods have achieved remarkable performance in LF image SR, these methods cannot fully…

Computer Vision and Pattern Recognition · Computer Science 2022-01-31 Zhengyu Liang , Yingqian Wang , Longguang Wang , Jungang Yang , Shilin Zhou

The ability to create an accurate three-dimensional reconstruction of a captured scene draws attention to the principles of light fields. This paper presents an approach for light field camera calibration and rectification, based on…

Computer Vision and Pattern Recognition · Computer Science 2021-06-14 Yuriy Anisimov , Gerd Reis , Didier Stricker

In recent years, light fields have become a major research topic and their applications span across the entire spectrum of classical image processing. Among the different methods used to capture a light field are the lenslet cameras, such…

Computer Vision and Pattern Recognition · Computer Science 2018-08-17 Pierre Matysiak , Mairéad Grogan , Mikaël Le Pendu , Martin Alain , Aljosa Smolic

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

We propose a computational imaging method for time-efficient light-field acquisition that combines a coded aperture with an event-based camera. Different from the conventional coded-aperture imaging method, our method applies a sequence of…

Computer Vision and Pattern Recognition · Computer Science 2024-11-21 Shuji Habuchi , Keita Takahashi , Chihiro Tsutake , Toshiaki Fujii , Hajime Nagahara

It is suggested that low-light image enhancement realizes one-to-many mapping since we have different definitions of NORMAL-light given application scenarios or users' aesthetic. However, most existing methods ignore subjectivity of the…

Computer Vision and Pattern Recognition · Computer Science 2021-01-05 Ya'nan Wang , Zhuqing Jiang , Chang Liu , Kai Li , Aidong Men , Haiying Wang