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Related papers: LookUp3D: Data-Driven 3D Scanning

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We introduce a structured light system that enables full-frame 3D scanning at speeds of $1000\text{ fps}$, four times faster than the previous fastest systems. Our key innovation is the use of a custom acousto-optic light scanning device…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Dhawal Sirikonda , Praneeth Chakravarthula , Ioannis Gkioulekas , Adithya Pediredla

Thin leaves, fine stems, self-occlusion, non-rigid and slowly changing structures make plants difficult for three-dimensional (3D) scanning and reconstruction -- two critical steps in automated visual phenotyping. Many current solutions…

Computer Vision and Pattern Recognition · Computer Science 2017-02-28 Chuong V Nguyen , Jurgen Fripp , David R Lovell , Robert Furbank , Peter Kuffner , Helen Daily , Xavier Sirault

Accurate 3D imaging is essential for machines to map and interact with the physical world. While numerous 3D imaging technologies exist, each addressing niche applications with varying degrees of success, none have achieved the breadth of…

Existing galvanometer-based laser scanning systems are challenging to apply in multi-scale 3D reconstruction because of the difficulty in achieving a balance between high reconstruction accuracy and a wide reconstruction range. This paper…

Robotics · Computer Science 2024-03-05 Mengjuan Chen , Qing Li , Kohei Shimasaki , Shaopeng Hu , Qingyi Gu , Idaku Ishii

Precise 3D measurements of rigid surfaces are desired in many fields of application like quality control or surgery. Often, views from all around the object have to be acquired for a full 3D description of the object surface. We present a…

Optics · Physics 2014-01-10 Oliver Arold , Svenja Ettl , Florian Willomitzer , Gerd Häusler

Real-time 3D reconstruction enables fast dense mapping of the environment which benefits numerous applications, such as navigation or live evaluation of an emergency. In contrast to most real-time capable approaches, our approach does not…

Computer Vision and Pattern Recognition · Computer Science 2021-04-22 Max Hermann , Boitumelo Ruf , Martin Weinmann

Recently, there has been an increase in the demand of virtual 3D objects representing real-life objects. A plethora of methods and systems have already been proposed for the acquisition of the geometry of real-life objects ranging from…

Computer Vision and Pattern Recognition · Computer Science 2016-08-23 Qing Gu , Kyriakos Herakleous , Charalambos Poullis

Hyperspectral 3D imaging captures both depth maps and hyperspectral images, enabling comprehensive geometric and material analysis. Recent methods achieve high spectral and depth accuracy; however, they require long acquisition times often…

Computer Vision and Pattern Recognition · Computer Science 2024-12-03 Suhyun Shin , Seungwoo Yoon , Ryota Maeda , Seung-Hwan Baek

Digitising the 3D world into a clean, CAD model-based representation has important applications for augmented reality and robotics. Current state-of-the-art methods are computationally intensive as they individually encode each detected…

Computer Vision and Pattern Recognition · Computer Science 2024-03-25 Florian Langer , Jihong Ju , Georgi Dikov , Gerhard Reitmayr , Mohsen Ghafoorian

Panoramic RGB-D cameras are known for their ability to produce high quality 3D scene reconstructions. However, operating these cameras involves manually selecting viewpoints and physically transporting the camera, making the generation of a…

Robotics · Computer Science 2025-07-30 Euijeong Lee , Kyung Min Han , Young J. Kim

Recently three-dimensional (3D) imaging achieves tremendous success in consumer and industrial manufacturing. However, current 3D imaging methods rarely observe dynamical events happening in a short time interval due to the imaging speed…

Optics · Physics 2019-01-15 Jiajie Teng , Qiang Guo , Minghua Chen , Sigang Yang , Hongwei Chen

We develop a scannerless non-line-of-sight three dimensional imaging system based on a commercial 32x32 SPAD camera combined with a 70 ps pulsed laser. In our experiment, 1024 time histograms can be achieved synchronously in 3s with an…

Image and Video Processing · Electrical Eng. & Systems 2020-11-11 Chenfei Jin , Meng Tang , Legeng Jia , Xiaorui Tian , Jie Yang , Kai Qiao , Siqi Zhang

2D object proposals, quickly detected regions in an image that likely contain an object of interest, are an effective approach for improving the computational efficiency and accuracy of object detection in color images. In this work, we…

Computer Vision and Pattern Recognition · Computer Science 2018-06-27 Ramanpreet Singh Pahwa , Jiangbo Lu , Nianjuan Jiang , Tian Tsong Ng , Minh N. Do

Learning-based methods for 3D scene reconstruction and object completion require large datasets containing partial scans paired with complete ground-truth geometry. However, acquiring such datasets using real-world scanning systems is…

Computer Vision and Pattern Recognition · Computer Science 2026-04-09 Jelle Vermandere , Maarten Bassier , Maarten Vergauwen

3D reconstruction is a technique used in computer vision which has a wide range of applications in areas like object recognition, city modelling, virtual reality, physical simulations, video games and special effects. Previously, to perform…

Computer Vision and Pattern Recognition · Computer Science 2017-10-06 Saed Khawaldeh , Tajwar Abrar Aleef , Usama Pervaiz , Vu Hoang Minh , Yeman Brhane Hagos

With the rapid development of computer graphics and vision, several three-dimensional (3D) reconstruction techniques have been proposed and used to obtain the 3D representation of objects in the form of point cloud models, mesh models, and…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Rui Wang

3D scanning is a complex multistage process that generates a point cloud of an object typically containing damaged parts due to occlusions, reflections, shadows, scanner motion, specific properties of the object surface, imperfect…

Computer Vision and Pattern Recognition · Computer Science 2022-01-07 Taras Rumezhak , Oles Dobosevych , Rostyslav Hryniv , Vladyslav Selotkin , Volodymyr Karpiv , Mykola Maksymenko

Shape retrieval and alignment are a promising avenue towards turning 3D scans into lightweight CAD representations that can be used for content creation such as mobile or AR/VR gaming scenarios. Unfortunately, CAD model retrieval is limited…

Computer Vision and Pattern Recognition · Computer Science 2020-07-24 Vladislav Ishimtsev , Alexey Bokhovkin , Alexey Artemov , Savva Ignatyev , Matthias Niessner , Denis Zorin , Evgeny Burnaev

Capturing and reconstructing high-speed dynamic 3D scenes has numerous applications in computer graphics, vision, and interdisciplinary fields such as robotics, aerodynamics, and evolutionary biology. However, achieving this using a single…

Computer Vision and Pattern Recognition · Computer Science 2025-02-10 Zihao Zou , Ziyuan Qu , Xi Peng , Vivek Boominathan , Adithya Pediredla , Praneeth Chakravarthula

Building accurate maps is a key building block to enable reliable localization, planning, and navigation of autonomous vehicles. We propose a novel approach for building accurate maps of dynamic environments utilizing a sequence of LiDAR…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Xingguang Zhong , Yue Pan , Cyrill Stachniss , Jens Behley
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