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The ability to accurately reconstruct the 3D facets of a scene is one of the key problems in robotic vision. However, even with recent advances with machine learning, there is no high-fidelity universal 3D reconstruction method for this…

Computer Vision and Pattern Recognition · Computer Science 2019-10-08 Bipul Islam , Ji Liu , Anthony Yezzi , Romeil Sandhu

We present a novel method for the interactive control of geometric abstraction and texture in artistic images. Previous example-based stylization methods often entangle shape, texture, and color, while generative methods for image synthesis…

Computer Vision and Pattern Recognition · Computer Science 2023-08-02 Martin Büßemeyer , Max Reimann , Benito Buchheim , Amir Semmo , Jürgen Döllner , Matthias Trapp

This study introduces a new framework for 3D person re-identification (re-ID) that leverages readily available high-resolution texture data in 3D reconstruction to improve the performance and explainability of the person re-ID task. We…

Computer Vision and Pattern Recognition · Computer Science 2024-12-10 Huy Nguyen , Kien Nguyen , Akila Pemasiri , Sridha Sridharan , Clinton Fookes

We propose the Canonical 3D Deformer Map, a new representation of the 3D shape of common object categories that can be learned from a collection of 2D images of independent objects. Our method builds in a novel way on concepts from…

Computer Vision and Pattern Recognition · Computer Science 2020-12-08 David Novotny , Roman Shapovalov , Andrea Vedaldi

In this paper, we rethink the problem of scene reconstruction from an embodied agent's perspective: While the classic view focuses on the reconstruction accuracy, our new perspective emphasizes the underlying functions and constraints such…

Robotics · Computer Science 2021-03-31 Muzhi Han , Zeyu Zhang , Ziyuan Jiao , Xu Xie , Yixin Zhu , Song-Chun Zhu , Hangxin Liu

The appearance of a human in clothing is driven not only by the pose but also by its temporal context, i.e., motion. However, such context has been largely neglected by existing monocular human modeling methods whose neural networks often…

Computer Vision and Pattern Recognition · Computer Science 2023-12-29 Hansol Lee , Junuk Cha , Yunhoe Ku , Jae Shin Yoon , Seungryul Baek

This paper introduces a vision-based framework for capturing and understanding human behavior in industrial assembly lines, focusing on car door manufacturing. The framework leverages advanced computer vision techniques to estimate workers'…

Computer Vision and Pattern Recognition · Computer Science 2024-09-27 Konstantinos Papoutsakis , Nikolaos Bakalos , Konstantinos Fragkoulis , Athena Zacharia , Georgia Kapetadimitri , Maria Pateraki

The advancements in neural rendering have increased the need for techniques that enable intuitive editing of 3D objects represented as neural implicit surfaces. This paper introduces a novel neural algorithm for parameterizing neural…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Baixin Xu , Jiangbei Hu , Fei Hou , Kwan-Yee Lin , Wayne Wu , Chen Qian , Ying He

I-nteract is a cyber-physical system that enables real-time interaction with both virtual and real artifacts to design 3D models for additive manufacturing by leveraging on mixed reality technologies. This paper presents novel advances in…

Human-Computer Interaction · Computer Science 2020-10-22 Ammar Malik , Hugo Lhachemi , Robert Shorten

3D shape editing is widely used in a range of applications such as movie production, computer games and computer aided design. It is also a popular research topic in computer graphics and computer vision. In past decades, researchers have…

Graphics · Computer Science 2021-03-03 Yu-Jie Yuan , Yu-Kun Lai , Tong Wu , Lin Gao , Ligang Liu

We present Shape-Haptics, an approach for designers to rapidly design and fabricate passive force feedback mechanisms for physical interfaces. Such mechanisms are used in everyday interfaces and tools, and they are challenging to design.…

Human-Computer Interaction · Computer Science 2022-02-23 Clement Zheng , Zhen Zhou Yong , Hongnan Lin , HyunJoo Oh , Ching Chiuan Yen

This paper introduces a set of numerical methods for Riemannian shape analysis of 3D surfaces within the setting of invariant (elastic) second-order Sobolev metrics. More specifically, we address the computation of geodesics and geodesic…

Computer Vision and Pattern Recognition · Computer Science 2025-01-07 Emmanuel Hartman , Yashil Sukurdeep , Eric Klassen , Nicolas Charon , Martin Bauer

We present a web application for the procedural generation of perturbations of 3D models. We generate the perturbations by generating vertex shaders that change the positions of vertices that make up the 3D model. The vertex shaders are…

Graphics · Computer Science 2017-06-14 Juan C. Quiroz , Sergiu M. Dascalu

As our society is becoming increasingly data-dependent, more and more people rely on charts and graphs to understand and communicate complex data. While such visualizations effectively reveal meaningful trends, they unavoidably aggregate…

Human-Computer Interaction · Computer Science 2023-10-19 Joy Kondo , Justin Park , Josiah Kondo , Nam Wook Kim

In this paper, we present a data-driven representation for linear parameter-varying (LPV) systems, which can be used for direct data-driven analysis and control of such systems. Specifically, we use the behavioral approach to develop a…

Systems and Control · Electrical Eng. & Systems 2025-10-28 Chris Verhoek , Ivan Markovsky , Sofie Haesaert , Roland Tóth

In this paper we present a framework for the rendering of dynamic 3D virtual environments which can be integrated in the development of videogames. It includes methods to manage sounds and particle effects, paged static geometries, the…

Graphics · Computer Science 2013-06-06 Salvatore Catanese , Emilio Ferrara , Giacomo Fiumara , Francesco Pagano

Plasma physics simulations create complex datasets for which researchers need state-of-the-art visualization tools to gain insights. These datasets are 3D in nature but are commonly depicted and analyzed using 2D idioms displayed on 2D…

We propose and study a novel cross-reality environment that seamlessly integrates a monoscopic 2D surface (an interactive screen with touch and pen input) with a stereoscopic 3D space (an augmented reality HMD) to jointly host spatial data…

Human-Computer Interaction · Computer Science 2024-09-25 Lixiang Zhao , Tobias Isenberg , Fuqi Xie , Hai-Ning Liang , Lingyun Yu

Codec Avatars are a recent class of learned, photorealistic face models that accurately represent the geometry and texture of a person in 3D (i.e., for virtual reality), and are almost indistinguishable from video. In this paper we describe…

Computer Vision and Pattern Recognition · Computer Science 2020-08-13 Alexander Richard , Colin Lea , Shugao Ma , Juergen Gall , Fernando de la Torre , Yaser Sheikh

A Computer-Aided Design (CAD) model encodes an object in two coupled forms: a parametric construction sequence and its resulting visible geometric shape. During iterative design, adjustments to the geometric shape inevitably require…

Computer Vision and Pattern Recognition · Computer Science 2026-01-06 Weijian Ma , Shizhao Sun , Ruiyu Wang , Jiang Bian
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