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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

Numerous techniques have been proposed for reconstructing 3D models for opaque objects in past decades. However, none of them can be directly applied to transparent objects. This paper presents a fully automatic approach for reconstructing…

Graphics · Computer Science 2018-05-15 Bojian Wu , Yang Zhou , Yiming Qian , Minglun Gong , Hui Huang

Traditionally, 3D indoor scene reconstruction from posed images happens in two phases: per-image depth estimation, followed by depth merging and surface reconstruction. Recently, a family of methods have emerged that perform reconstruction…

Computer Vision and Pattern Recognition · Computer Science 2022-09-01 Mohamed Sayed , John Gibson , Jamie Watson , Victor Prisacariu , Michael Firman , Clément Godard

Object reconstruction is an important task in many fields of application as it allows to generate digital representations of our physical world used as base for analysis, planning, construction, visualization or other aims. A reconstruction…

A simple method of constructing the 3D surface of non-transparent micro-objects by extending the depth-of-field on the whole attainable surface is presented. The series of images of a sample are recorded by the sequential movement of the…

Instrumentation and Detectors · Physics 2009-04-15 V. V. Berejnov

This work presents a flexible system to reconstruct 3D models of objects captured with an RGB-D sensor. A major advantage of the method is that our reconstruction pipeline allows the user to acquire a full 3D model of the object. This is…

Computer Vision and Pattern Recognition · Computer Science 2015-05-22 Aitor Aldoma , Johann Prankl , Alexander Svejda , Markus Vincze

Recent advances have enabled 3d object reconstruction approaches using a single off-the-shelf RGB-D camera. Although these approaches are successful for a wide range of object classes, they rely on stable and distinctive geometric or…

Computer Vision and Pattern Recognition · Computer Science 2017-04-04 Dimitrios Tzionas , Juergen Gall

This comprehensive review examines the evolution and the current state of the art in three-dimensional (3D) reconstruction techniques in manufacturing applications. The analysis covers both traditional approaches and emerging deep learning…

Computer Vision and Pattern Recognition · Computer Science 2026-05-01 Chialoon Cheng , Kaijun liu , Zhiyang Liu , Marcelo H Ang

3-dimensional (3D) reconstruction is an emerging field in image processing and computer vision that aims to create 3D visualizations/ models of objects/ scenes from image sets. However, its commercial applications and benefits are yet to be…

Human-Computer Interaction · Computer Science 2012-02-06 Uma Murthy , David Boardman , Chirag Garg

Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful capacity of visualization. Actually, the representation of scenes…

Computer Vision and Pattern Recognition · Computer Science 2025-01-28 Omar Elharrouss , Kawther Hassine , Ayman Zayyan , Zakariyae Chatri , Noor almaadeed , Somaya Al-Maadeed , Khalid Abualsaud

Reconstructing 3D object models is playing an important role in many applications in the field of computer vision. Instead of employing a collection of cameras and/or sensors as in many studies, this paper proposes a simple way to build a…

Computer Vision and Pattern Recognition · Computer Science 2019-08-20 Trong Nguyen Nguyen , Huu Hung Huynh , Jean Meunier

Industrial cone-beam X-ray computed tomography (CT) scans of additively manufactured components produce a 3D reconstruction from projection measurements acquired at multiple predetermined rotation angles of the component about a single…

Image and Video Processing · Electrical Eng. & Systems 2024-07-19 Jingsong Lin , Singanallur Venkatakrishnan , Gregery Buzzard , Amir Koushyar Ziabari , Charles Bouman

We introduce an active 3D reconstruction method which integrates visual perception, robot-object interaction, and 3D scanning to recover both the exterior and interior, i.e., unexposed, geometries of a target 3D object. Unlike other works…

Computer Vision and Pattern Recognition · Computer Science 2023-10-24 Zihao Yan , Fubao Su , Mingyang Wang , Ruizhen Hu , Hao Zhang , Hui Huang

Breast cancer is the most prevalent cancer type in women, and while its survival rate is generally high the aesthetic outcome is an increasingly important factor when evaluating different treatment alternatives. 3D scanning and…

Computer Vision and Pattern Recognition · Computer Science 2017-06-21 Rene Lacher , Francisco Vasconcelos , David Bishop , Norman Williams , Mohammed Keshtgar , David Hawkes , John Hipwell , Danail Stoyanov

Recovering the 3D shape of transparent objects using a small number of unconstrained natural images is an ill-posed problem. Complex light paths induced by refraction and reflection have prevented both traditional and deep multiview stereo…

Computer Vision and Pattern Recognition · Computer Science 2020-07-24 Zhengqin Li , Yu-Ying Yeh , Manmohan Chandraker

3D reconstruction aims to reconstruct 3D objects from 2D views. Previous works for 3D reconstruction mainly focus on feature matching between views or using CNNs as backbones. Recently, Transformers have been shown effective in multiple…

Computer Vision and Pattern Recognition · Computer Science 2021-11-17 Zai Shi , Zhao Meng , Yiran Xing , Yunpu Ma , Roger Wattenhofer

Computer-Aided Design is ubiquitous in todays world, as almost every manufactured object begins as a digital model across industries. At the same time, advances in 3D sensing have made point clouds a dominant form of raw 3D data. Recovering…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Said Harb , Mehdi Maboudi , Markus Gerke

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

Scene reconstruction from multi-view images is a fundamental problem in computer vision and graphics. Recent neural implicit surface reconstruction methods have achieved high-quality results; however, editing and manipulating the 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-04-02 Xiaoyang Lyu , Chirui Chang , Peng Dai , Yang-Tian Sun , Xiaojuan Qi

The coordinate measuring machine(CMM) has been the benchmark of accuracy in measuring solid objects from nearly past 50 years or more. However with the advent of 3D scanning technology, the accuracy and the density of point cloud generated…

Computer Vision and Pattern Recognition · Computer Science 2024-09-02 Aman Gajendra Jain , Shital Chiddarwar
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