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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

This paper presents DENSER, an efficient and effective approach leveraging 3D Gaussian splatting (3DGS) for the reconstruction of dynamic urban environments. While several methods for photorealistic scene representations, both implicitly…

Computer Vision and Pattern Recognition · Computer Science 2024-09-17 Mahmud A. Mohamad , Gamal Elghazaly , Arthur Hubert , Raphael Frank

3D reconstruction from 2D images is a central problem in computer vision. Recent works have been focusing on reconstruction directly from a single image. It is well known however that only one image cannot provide enough information for…

Computer Vision and Pattern Recognition · Computer Science 2019-01-25 Jhony K. Pontes , Chen Kong , Anders Eriksson , Clinton Fookes , Sridha Sridharan , Simon Lucey

This is the preprint version of our paper on EUROGRAPHICS 2015. A big city visual analysis platform based on Web Virtual Reality Geographical Information System (WEBVRGIS) is presented. Extensive model editing functions and spatial analysis…

Graphics · Computer Science 2015-07-31 Zhihan Lv , Xiaoming Li , Baoyun Zhang , Weixi Wang , Shengzhong Feng , Jinxing Hu

Estimating 3D poses and shapes in the form of meshes from monocular RGB images is challenging. Obviously, it is more difficult than estimating 3D poses only in the form of skeletons or heatmaps. When interacting persons are involved, the 3D…

Computer Vision and Pattern Recognition · Computer Science 2022-11-01 Junuk Cha , Muhammad Saqlain , GeonU Kim , Mingyu Shin , Seungryul Baek

This paper aims to develop the study of historical printed ornaments with modern unsupervised computer vision. We highlight three complex tasks that are of critical interest to book historians: clustering, element discovery, and…

Computer Vision and Pattern Recognition · Computer Science 2024-08-19 Sayan Kumar Chaki , Zeynep Sonat Baltaci , Elliot Vincent , Remi Emonet , Fabienne Vial-Bonacci , Christelle Bahier-Porte , Mathieu Aubry , Thierry Fournel

Searching in and editing 3D scenes has become extremely intuitive with trainable scene representations that allow linking human concepts to elements in the scene. These operations are often evaluated on the basis of how accurately the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-25 Simona Kocour , Assia Benbihi , Aikaterini Adam , Torsten Sattler

The cross-depiction problem is that of recognising visual objects regardless of whether they are photographed, painted, drawn, etc. It is a potentially significant yet under-researched problem. Emulating the remarkable human ability to…

Computer Vision and Pattern Recognition · Computer Science 2015-05-04 Hongping Cai , Qi Wu , Tadeo Corradi , Peter Hall

We present a system that allows users to visualize complex human motion via 3D motion sculptures---a representation that conveys the 3D structure swept by a human body as it moves through space. Given an input video, our system computes the…

Human-Computer Interaction · Computer Science 2019-01-03 Xiuming Zhang , Tali Dekel , Tianfan Xue , Andrew Owens , Qiurui He , Jiajun Wu , Stefanie Mueller , William T. Freeman

This paper proposes a simple and efficient method for the reconstruction and extraction of geometric parameters from 3D tubular objects. Our method constructs an image that accumulates surface normal information, then peaks within this…

Cylindrical algebraic decomposition (CAD) is a key tool for problems in real algebraic geometry and beyond. When using CAD there is often a choice over the variable ordering to use, with some problems infeasible in one ordering but simple…

Symbolic Computation · Computer Science 2015-02-12 Zongyan Huang , Matthew England , David Wilson , James H. Davenport , Lawrence C. Paulson

We propose a fully automatic system to reconstruct and visualize 3D blood vessels in Augmented Reality (AR) system from stereo X-ray images with bones and body fat. Currently, typical 3D imaging technologies are expensive and carrying the…

Computer Vision and Pattern Recognition · Computer Science 2017-09-25 Qiuyu Chen , Ryoma Bise , Lin Gu , Yinqiang Zheng , Imari Sato , Jenq-Neng Hwang , Nobuaki Imanishi , Sadakazu Aiso

Managing chronic wounds is a global challenge that can be alleviated by the adoption of automatic systems for clinical wound assessment from consumer-grade videos. While 2D image analysis approaches are insufficient for handling the 3D…

Computer Vision and Pattern Recognition · Computer Science 2025-06-09 Remi Chierchia , Leo Lebrat , David Ahmedt-Aristizabal , Olivier Salvado , Clinton Fookes , Rodrigo Santa Cruz

The advancement in deep implicit modeling and articulated models has significantly enhanced the process of digitizing human figures in 3D from just a single image. While state-of-the-art methods have greatly improved geometric precision,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-15 Vishnu Mani Hema , Shubhra Aich , Christian Haene , Jean-Charles Bazin , Fernando de la Torre

The aim of craniofacial reconstruction is to produce a likeness of a face from the skull. Few works in computerized assisted facial reconstruction have been done in the past, due to poor machine performances and data availability, and major…

Medical Physics · Physics 2016-08-16 Maxime Berar , Michel Desvignes , Gérard Bailly , Yohan Payan

A cost-effective augmented reality (AR) system is presented for visualising three-dimensional magnetic field structures and charged-particle trajectories in magnetically confined fusion plasmas. The system presented in this study integrates…

Plasma Physics · Physics 2026-04-29 Akinobu Matsuyama

In this work we propose a model that can manipulate individual visual attributes of objects in a real scene using examples of how respective attribute manipulations affect the output of a simulation. As an example, we train our model to…

Machine Learning · Computer Science 2019-04-04 Ben Usman , Nick Dufour , Kate Saenko , Chris Bregler

Die analysis is an essential numismatic method, and an important tool of ancient economic history. Yet, manual die studies are too labor-intensive to comprehensively study large coinages such as those of the Roman Empire. We address this…

Computer Vision and Pattern Recognition · Computer Science 2021-12-02 Andreas Heinecke , Emanuel Mayer , Abhinav Natarajan , Yoonju Jung

To endow machines with the ability to perceive the real-world in a three dimensional representation as we do as humans is a fundamental and long-standing topic in Artificial Intelligence. Given different types of visual inputs such as…

Computer Vision and Pattern Recognition · Computer Science 2020-10-20 Bo Yang

The goal of this paper is to advance the state-of-the-art of articulated pose estimation in scenes with multiple people. To that end we contribute on three fronts. We propose (1) improved body part detectors that generate effective…

Computer Vision and Pattern Recognition · Computer Science 2016-12-01 Eldar Insafutdinov , Leonid Pishchulin , Bjoern Andres , Mykhaylo Andriluka , Bernt Schiele