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Compressive imaging using coded apertures (CA) is a powerful technique that can be used to recover depth, light fields, hyperspectral images and other quantities from a single snapshot. The performance of compressive imaging systems based…

Image and Video Processing · Electrical Eng. & Systems 2021-04-08 Edwin Vargas , Julien N. P. Martel , Gordon Wetzstein , Henry Arguello

The abundant spatial and angular information from light fields has allowed the development of multiple disparity estimation approaches. However, the acquisition of light fields requires high storage and processing cost, limiting the use of…

Computer Vision and Pattern Recognition · Computer Science 2022-09-26 Emmanuel Martinez , Edwin Vargas , Henry Arguello

We present a method that leverages the complementarity of event cameras and standard cameras to track visual features with low-latency. Event cameras are novel sensors that output pixel-level brightness changes, called "events". They offer…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Daniel Gehrig , Henri Rebecq , Guillermo Gallego , Davide Scaramuzza

Light-field imaging is an emerging paradigm in biomedical optics, offering the unique ability to capture volumetric information in a single snapshot by encoding both the spatial and angular components of light. Unlike conventional…

Optics · Physics 2025-09-30 Ruixuan Zhao , Xuanwen Hua , Woongjae Baek , Zhaoqiang Wang , Shu Jia , Liang Gao

Light field cameras capture the 3D information in a scene with a single exposure. This special feature makes light field cameras very appealing for a variety of applications: from post-capture refocus, to depth estimation and image-based…

Computer Vision and Pattern Recognition · Computer Science 2018-08-01 Mattia Rossi , Pascal Frossard

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

This paper presents a new method for 3D depth estimation using the output of an asynchronous time driven image sensor. In association with a high speed Digital Light Processing projection system, our method achieves real-time reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 T. Leroux , S. -H. Ieng , R. Benosman

Time-resolved image sensors that capture light at pico-to-nanosecond timescales were once limited to niche applications but are now rapidly becoming mainstream in consumer devices. We propose low-cost and low-power imaging modalities that…

Computer Vision and Pattern Recognition · Computer Science 2022-11-10 Sacha Jungerman , Atul Ingle , Yin Li , Mohit Gupta

Mask-based lensless cameras can be flat, thin, and light-weight, which makes them suitable for novel designs of computational imaging systems with large surface areas and arbitrary shapes. Despite recent progress in lensless cameras, the…

Image and Video Processing · Electrical Eng. & Systems 2023-01-11 Yucheng Zheng , M. Salman Asif

The event camera, benefiting from its high dynamic range and low latency, provides performance gain for low-light image enhancement. Unlike frame-based cameras, it records intensity changes with extremely high temporal resolution, capturing…

Computer Vision and Pattern Recognition · Computer Science 2025-08-04 Chunyan She , Fujun Han , Chengyu Fang , Shukai Duan , Lidan Wang

Several coded exposure techniques have been proposed for acquiring high frame rate videos at low bandwidth. Most recently, a Coded-2-Bucket camera has been proposed that can acquire two compressed measurements in a single exposure, unlike…

Image and Video Processing · Electrical Eng. & Systems 2020-11-12 Prasan Shedligeri , Anupama S , Kaushik Mitra

We propose a novel framework to automatically learn to aggregate and transform photometric measurements from multiple unstructured views into spatially distinctive and view-invariant low-level features, which are subsequently fed to a…

Computer Vision and Pattern Recognition · Computer Science 2024-12-12 Xiang Feng , Kaizhang Kang , Fan Pei , Huakeng Ding , Jinjiang You , Ping Tan , Kun Zhou , Hongzhi Wu

A simple and inexpensive (low-power and low-bandwidth) modification is made to a conventional off-the-shelf color video camera, from which we recover {multiple} color frames for each of the original measured frames, and each of the…

Computer Vision and Pattern Recognition · Computer Science 2014-02-28 Xin Yuan , Patrick Llull , Xuejun Liao , Jianbo Yang , Guillermo Sapiro , David J. Brady , Lawrence Carin

Reconstructing outdoor 3D scenes from temporal observations is a challenge that recent work on neural fields has offered a new avenue for. However, existing methods that recover scene properties, such as geometry, appearance, or radiance,…

Computer Vision and Pattern Recognition · Computer Science 2024-05-31 Andrea Ramazzina , Stefanie Walz , Pragyan Dahal , Mario Bijelic , Felix Heide

Optical systems which measure independent random projections of a scene according to compressed sensing (CS) theory face a myriad of practical challenges related to the size of the physical platform, photon efficiency, the need for high…

Applications · Statistics 2015-03-19 Zachary T. Harmany , Roummel F. Marcia , Rebecca M. Willett

Event cameras are ideally suited to capture High Dynamic Range (HDR) visual information without blur but provide poor imaging capability for static or slowly varying scenes. Conversely, conventional image sensors measure absolute intensity…

Computer Vision and Pattern Recognition · Computer Science 2024-09-02 Ziwei Wang , Yonhon Ng , Cedric Scheerlinck , Robert Mahony

Through capturing spatial and angular radiance distribution, light field cameras introduce new capabilities that are not possible with conventional cameras. So far in the light field imaging literature, the focus has been on the theory and…

Computer Vision and Pattern Recognition · Computer Science 2016-11-16 M. Umair Mukati , Bahadir K. Gunturk

Low-light image enhancement aims to restore the under-exposure image captured in dark scenarios. Under such scenarios, traditional frame-based cameras may fail to capture the structure and color information due to the exposure time…

Computer Vision and Pattern Recognition · Computer Science 2025-03-05 Xuejian Guo , Zhiqiang Tian , Yuehang Wang , Siqi Li , Yu Jiang , Shaoyi Du , Yue Gao

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

Fast and accurate depth sensing has long been a significant research challenge. Event camera, as a device that quickly responds to intensity changes, provides a new solution for structured light (SL) systems. In this paper, we introduce…

Computer Vision and Pattern Recognition · Computer Science 2025-04-01 Xingyu Lu , Lei Sun , Diyang Gu , Kaiwei Wang