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We present a new framework for multi-view geometry in computer vision. A camera is a mapping between $\mathbb{P}^3$ and a line congruence. This model, which ignores image planes and measurements, is a natural abstraction of traditional…

Algebraic Geometry · Mathematics 2016-12-28 Jean Ponce , Bernd Sturmfels , Matthew Trager

Part-aware panoptic segmentation is a problem of computer vision that aims to provide a semantic understanding of the scene at multiple levels of granularity. More precisely, semantic areas, object instances, and semantic parts are…

Computer Vision and Pattern Recognition · Computer Science 2023-12-01 Shishir Muralidhara , Sravan Kumar Jagadeesh , René Schuster , Didier Stricker

The theory of mixed finite element methods for solving different types of elliptic partial differential equations in saddle point formulation is well established since many decades. This topic was mostly studied for variational formulations…

Numerical Analysis · Mathematics 2024-03-04 Vitoriano Ruas

Coupled 3D-1D problems arise in many practical applications, in an attempt to reduce the computational burden in simulations where cylindrical inclusions with a small section are embedded in a much larger domain. Nonetheless the resolution…

Numerical Analysis · Mathematics 2021-06-10 Stefano Berrone , Denise Grappein , Stefano Scialò , Fabio Vicini

Platforms such as robots, security cameras, drones and satellites are used in multi-view imaging for three-dimensional (3D) recovery by stereoscopy or tomography. Each camera in the setup has a field of view (FOV). Multi-view analysis…

Computer Vision and Pattern Recognition · Computer Science 2024-08-01 Vadim Holodovsky , Masada Tzabari , Yoav Schechner , Alex Frid , Klaus Schilling

With the help of the deep learning paradigm, many point cloud networks have been invented for visual analysis. However, there is great potential for development of these networks since the given information of point cloud data has not been…

Computer Vision and Pattern Recognition · Computer Science 2021-12-20 Shi Qiu , Saeed Anwar , Nick Barnes

We study a wide spectrum of incidence problems involving points and curves or points and surfaces in $\mathbb R^3$. The current (and in fact the only viable) approach to such problems, pioneered by Guth and Katz [2010,2015], requires a…

Combinatorics · Mathematics 2017-05-01 Micha Sharir , Noam Solomon

Geometric programming problem is a powerful tool for solving some special type non-linear programming problems. It has a wide range of applications in optimization and engineering for solving some complex optimization problems. Many…

Data Structures and Algorithms · Computer Science 2010-03-25 A. K. Ojha , K. K. Biswal

We investigate the universality of multi-spin systems in architectures of various symmetries of coupling type and topology. Explicit reachability sets under symmetry constraints are provided. Thus for a given (possibly symmetric)…

Quantum Physics · Physics 2009-05-17 U. Sander , T. Schulte-Herbrueggen

Let $S$ be a set of $n$ points in the plane. We present several different algorithms for finding a pair of points in $S$ such that any disk that contains that pair must contain at least $cn$ points of $S$, for some constant $c>0$. The first…

Computational Geometry · Computer Science 2026-01-29 Prosenjit Bose , Guillermo Esteban , Tyler Tuttle

We consider radial solutions of a general elliptic equation involving a weighted $p$-Laplace operator with a subcritical nonlinearity. By a shooting method we prove the existence of solutions with any prescribed number of nodes. The method…

Analysis of PDEs · Mathematics 2014-08-05 Carmen Cortázar , Jean Dolbeault , Marta Garcia-Huidobro , Raul Manásevich

Among the main goals in multiple change point problems are the estimation of the number and positions of the change points, as well as the regime structure in the clusters induced by those changes. The product partition model (PPM) is a…

Methodology · Statistics 2021-08-11 Ricardo C. Pedroso , Rosangela H. Loschi , Fernando Andrés Quintana

By enabling capturing of 3D point clouds that reflect the geometry of the immediate environment, LiDAR has emerged as a primary sensor for autonomous systems. If a LiDAR scan is too sparse, occluded by obstacles, or too small in range,…

Computer Vision and Pattern Recognition · Computer Science 2024-10-16 Ryan Faulkner , Luke Haub , Simon Ratcliffe , Anh-Dzung Doan , Ian Reid , Tat-Jun Chin

LiDAR-based 3D detection has made great progress in recent years. However, the performance of 3D detectors is considerably limited when deployed in unseen environments, owing to the severe domain gap problem. Existing domain adaptive 3D…

Computer Vision and Pattern Recognition · Computer Science 2023-08-17 Ziyu Li , Jingming Guo , Tongtong Cao , Liu Bingbing , Wankou Yang

Correspondence is a ubiquitous problem in computer vision and graph matching has been a natural way to formalize correspondence as an optimization problem. Recently, graph matching solvers have included higher-order terms representing…

Computer Vision and Pattern Recognition · Computer Science 2014-05-27 Mayank Bansal , Kostas Daniilidis

The chosen tool of this thesis is an extremal type approach. The lesson drawn by the theorems proved in the thesis is that surprisingly small compromise is necessary on the efficacy of the solutions to make the approach work. The problems…

Combinatorics · Mathematics 2017-11-09 Tamás Róbert Mezei

With the advent of integrated sensor technology (smart flow meters and pressure sensors), various new numerical algorithms for leak localization (a core element of water distribution system operation) have been developed. However, there is…

Systems and Control · Electrical Eng. & Systems 2024-03-18 Victor Molnö , Henrik Sandberg

This paper considers an extension of origami geometry to the case of "folding" a three dimensional (3D) space along a plane. First, all possible incidence constraints between given points, lines and planes are analyzed by using the geometry…

History and Overview · Mathematics 2018-09-18 Jorge C. Lucero

For a class of quasilinear elliptic equations involving the p-Laplace operator, we develop an abstract critical point theory in the presence of sub-supersolutions. Our approach is based upon the proof of the invariance under the gradient…

Analysis of PDEs · Mathematics 2012-10-09 Maria-Magdalena Boureanu , Benedetta Noris , Susanna Terracini

This paper is concerned with the study of multiple positive solutions to the following elliptic problem involving a nonhomogeneous operator with nonstandard growth of $p$-$q$ type and singular nonlinearities \begin{equation*} \left\{…

Analysis of PDEs · Mathematics 2021-09-09 Rakesh Arora
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