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We geometrically analyze the problem of estimating parameters related to the shape and size of a two-dimensional target object on the plane by using randomly distributed distance sensors whose locations are unknown. Based on the analysis…

Information Theory · Computer Science 2017-07-20 Hiroshi Saito , Hirotada Honda

Obtaining complete information about the shape of an object by looking at it from a single direction is impossible in general. In this paper, we theoretically study obtaining differential geometric information of an object from orthogonal…

Differential Geometry · Mathematics 2020-10-08 Masaru Hasegawa , Yutaro Kabata , Kentaro Saji

Hallucinations in deployed language models can have real consequences for downstream decisions in domains such as healthcare, legal, and financial services. In production, detection has to run on what the deployed system can see: the query,…

Artificial Intelligence · Computer Science 2026-05-11 Javier Marín

The basic laws of geometrical optics can be deduced from energy-momentum conservation for electromagnetic waves, without other wave concepts. However, the concept of quanta is required; it arises naturally, hence such a hypothesis could…

Physics Education · Physics 2007-05-23 John P. Hernandez

In general relativity, spatial light rays of static spherically symmetric spacetimes are geodesics of surfaces in Riemannian optical geometry. In this paper, we apply results on the isoperimetric problem to show that length-minimizing…

General Relativity and Quantum Cosmology · Physics 2019-02-07 Henri P. Roesch , Marcus C. Werner

In this paper, we introduce Geometric Algebra-Informed 3D Gaussian Splatting (GAI-GS), a framework for wireless modeling that couples 3D Gaussian splatting with a geometric algebra-based attention mechanism to explicitly model ray-object…

Networking and Internet Architecture · Computer Science 2026-05-28 Jingzhou Shen , Tianya Zhao , Xuyu Wang

The ultimate goal of many image-based modeling systems is to render photo-realistic novel views of a scene without visible artifacts. Existing evaluation metrics and benchmarks focus mainly on the geometric accuracy of the reconstructed…

Computer Vision and Pattern Recognition · Computer Science 2016-01-27 Michael Waechter , Mate Beljan , Simon Fuhrmann , Nils Moehrle , Johannes Kopf , Michael Goesele

General object composition (GOC) aims to seamlessly integrate a target object into a background scene with desired geometric properties, while simultaneously preserving its fine-grained appearance details. Recent approaches derive semantic…

Computer Vision and Pattern Recognition · Computer Science 2026-05-19 Jianman Lin , Haojie Li , Chunmei Qing , Zhijing Yang , Liang Lin , Tianshui Chen

We will show the usefulness of the tools of Symplectic and Presymplectic Geometry and the corresponding Lie algebraic methods in different problems in Geometric Optics.

Optics · Physics 2008-11-06 J. F. Cariñena , C. López , J. Nasarre

We tackle the challenge of efficiently reconstructing 3D scenes with high detail on objects of interest. Existing 3D Gaussian Splatting (3DGS) methods allocate resources uniformly across the scene, limiting fine detail to Regions Of…

Graphics · Computer Science 2025-10-20 Quoc-Anh Bui , Gilles Rougeron , Géraldine Morin , Simone Gasparini

In this article, we propose a new dimensionality-independent and gradient-free sampler, called Geometric Optics Approximation Sampling, which is based on the reflector antenna system. The core idea is to construct a reflecting surface that…

Numerical Analysis · Mathematics 2024-11-18 Zejun Sun , Guang-Hui Zheng

The biological characteristics of human visual processing can be investigated through the study of optical illusions and their perception, giving rise to intuitions that may improve computer vision to match human performance. Geometric…

Computer Vision and Pattern Recognition · Computer Science 2016-09-23 Nasim Nematzadeh , David M. W. Powers

3D scene reconstruction is a foundational problem in computer vision. Despite recent advancements in Neural Implicit Representations (NIR), existing methods often lack editability and compositional flexibility, limiting their use in…

Computer Vision and Pattern Recognition · Computer Science 2024-12-04 Liu Liu , Xinjie Wang , Jiaxiong Qiu , Tianwei Lin , Xiaolin Zhou , Zhizhong Su

Hyperbolic geometry, a Riemannian manifold endowed with constant sectional negative curvature, has been considered an alternative embedding space in many learning scenarios, \eg, natural language processing, graph learning, \etc, as a…

Computer Vision and Pattern Recognition · Computer Science 2023-04-24 Pengfei Fang , Mehrtash Harandi , Trung Le , Dinh Phung

The geometry of generative models serves as the basis for interpolation, model inspection, and more. Unfortunately, most generative models lack a principal notion of geometry without restrictive assumptions on either the model or the data…

Machine Learning · Computer Science 2026-01-30 Frederik Möbius Rygaard , Shen Zhu , Yinzhu Jin , Søren Hauberg , Tom Fletcher

The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes caused by, e.g., different illumination conditions, or gaps…

Computer Vision and Pattern Recognition · Computer Science 2023-01-16 Vidit Vidit , Martin Engilberge , Mathieu Salzmann

We describe the invariant metrics on real flag manifolds and classify those with the following property: every geodesic is the orbit of a one-parameter subgroup. Such a metric is called g.o. (geodesic orbit). In contrast to the complex…

Differential Geometry · Mathematics 2020-10-13 Brian Grajales , Lino Grama , Caio J. C. Negreiros

A geodesic orbit manifold (GO manifold) is a Riemannian manifold (M,g) with the property that any geodesic in M is an orbit of a one-parameter subgroup of a group G of isometries of (M,g). The metric g is then called a G-GO metric in M. For…

Differential Geometry · Mathematics 2018-11-19 Nikolaos Panagiotis Souris

We present a system for generating inconspicuous-looking textures that, when displayed in the physical world as digital or printed posters, cause visual object tracking systems to become confused. For instance, as a target being tracked by…

Robotics · Computer Science 2019-09-17 Rey Reza Wiyatno , Anqi Xu

The main purpose of this article is to develop an explicit derived deformation theory of algebraic structures at a high level of generality, encompassing in a common framework various kinds of algebras (associative, commutative, Poisson...)…

Algebraic Topology · Mathematics 2025-03-11 Gregory Ginot , Sinan Yalin
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