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Related papers: 3D Scene Inference from Transient Histograms

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The measurement of transient optical fields has proven critical to understanding the dynamical mechanisms underlying ultrafast physical and chemical phenomena, and is key to realizing higher speeds in electronics and telecommunications.…

Depth information is useful for many applications. Active depth sensors are appealing because they obtain dense and accurate depth maps. However, due to issues that range from power constraints to multi-sensor interference, these sensors…

Image and Video Processing · Electrical Eng. & Systems 2020-02-04 James Noraky , Vivienne Sze

An event camera detects per-pixel intensity difference and produces asynchronous event stream with low latency, high dynamic range, and low power consumption. As a trade-off, the event camera has low spatial resolution. We propose an…

Computer Vision and Pattern Recognition · Computer Science 2020-04-13 S. Mohammad Mostafavi I. , Jonghyun Choi , Kuk-Jin Yoon

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…

Gated cameras hold promise as an alternative to scanning LiDAR sensors with high-resolution 3D depth that is robust to back-scatter in fog, snow, and rain. Instead of sequentially scanning a scene and directly recording depth via the photon…

Computer Vision and Pattern Recognition · Computer Science 2021-12-07 Amanpreet Walia , Stefanie Walz , Mario Bijelic , Fahim Mannan , Frank Julca-Aguilar , Michael Langer , Werner Ritter , Felix Heide

This work proposes a new method for place recognition based on the scene architecture. From depth video, we compute the 3D model and we derive and describe geometrically the 2D map from which the scene descriptor is deduced to constitute…

Computer Vision and Pattern Recognition · Computer Science 2022-05-11 Farah Ibelaiden , Slimane Larabi

High speed, high-resolution, and accurate 3D scanning would open doors to many new applications in graphics, robotics, science, and medicine by enabling the accurate scanning of deformable objects during interactions. Past attempts to use…

Computer Vision and Pattern Recognition · Computer Science 2025-10-23 Giancarlo Pereira , Yidan Gao , Yurii Piadyk , David Fouhey , Claudio T Silva , Daniele Panozzo

Neural implicit representation of visual scenes has attracted a lot of attention in recent research of computer vision and graphics. Most prior methods focus on how to reconstruct 3D scene representation from a set of images. In this work,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-12 Wenpu Li , Pian Wan , Peng Wang , Jinghang Li , Yi Zhou , Peidong Liu

Recording of transient absorption microscopy images requires fast detection of minute optical density changes, which is typically achieved with high-repetition-rate laser sources and lock-in detection. Here, we present a highly flexible and…

In recent years, 3D generation has made great strides in both academia and industry. However, generating 3D scenes from a single RGB image remains a significant challenge, as current approaches often struggle to ensure both object…

Graphics · Computer Science 2026-02-18 Xiang Tang , Ruotong Li , Xiaopeng Fan

In this paper, we present a new algorithm for fast, online 3D reconstruction of dynamic scenes using times of arrival of photons recorded by single-photon detector arrays. One of the main challenges in 3D imaging using single-photon lidar…

Image and Video Processing · Electrical Eng. & Systems 2021-02-03 Quentin Legros , Julian Tachella , Rachael Tobin , Aongus McCarthy , Sylvain Meignen , Gerald S. Buller , Yoann Altmann , Stephen McLaughlin , Michael E. Davies

This paper proposes a new method for simultaneous 3D reconstruction and semantic segmentation of indoor scenes. Unlike existing methods that require recording a video using a color camera and/or a depth camera, our method only needs a small…

Computer Vision and Pattern Recognition · Computer Science 2019-06-20 Jingyu Yang , Ji Xu , Kun Li , Yu-Kun Lai , Huanjing Yue , Jianzhi Lu , Hao Wu , Yebin Liu

Single-shot ultrafast optical imaging plays a very important role in the detection of transient scenes, especially in capturing irreversible or stochastic dynamic scenes. To break the limit of time response speed of electronic devices, such…

Advances in 3D reconstruction using neural rendering have enabled high-quality 3D capture. However, they often fail when the input imagery is corrupted by motion blur, due to fast motion of the camera or the objects in the scene. This work…

Image and Video Processing · Electrical Eng. & Systems 2025-06-30 Sai Sri Teja , Sreevidya Chintalapati , Vinayak Gupta , Mukund Varma T , Haejoon Lee , Aswin Sankaranarayanan , Kaushik Mitra

Real-time holistic scene understanding would allow machines to interpret their surrounding in a much more detailed manner than is currently possible. While panoptic image segmentation methods have brought image segmentation closer to this…

Computer Vision and Pattern Recognition · Computer Science 2022-04-04 Leevi Raivio , Esa Rahtu

Given two consecutive RGB-D images, we propose a model that estimates a dense 3D motion field, also known as scene flow. We take advantage of the fact that in robot manipulation scenarios, scenes often consist of a set of rigidly moving…

Robotics · Computer Science 2018-07-25 Lin Shao , Parth Shah , Vikranth Dwaracherla , Jeannette Bohg

The wavefront measurement of a light beam is a complex task, which often requires a series of spatially resolved intensity measurements. For instance, a detector array may be used to measure the local phase gradient in the transverse plane…

Importance of structured-light based one-shot scanning technique is increasing because of its simple system configuration and ability of capturing moving objects. One severe limitation of the technique is that it can capture only sparse…

Computer Vision and Pattern Recognition · Computer Science 2021-08-09 Kodai Tokieda , Takafumi Iwaguchi , Hiroshi Kawasaki

This paper provides a comprehensive survey on pioneer and state-of-the-art 3D scene geometry estimation methodologies based on single, two, or multiple images captured under the omnidirectional optics. We first revisit the basic concepts of…

Computer Vision and Pattern Recognition · Computer Science 2024-01-18 Thiago Lopes Trugillo da Silveira , Paulo Gamarra Lessa Pinto , Jeffri Erwin Murrugarra Llerena , Claudio Rosito Jung

Compressed sensing has been discussed separately in spatial and temporal domains. Compressive holography has been introduced as a method that allows 3D tomographic reconstruction at different depths from a single 2D image. Coded exposure is…

Computer Vision and Pattern Recognition · Computer Science 2018-09-05 Zihao Wang , Leonidas Spinoulas , Kuan He , Huaijin Chen , Lei Tian , Aggelos K. Katsaggelos , Oliver Cossairt