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We introduce a relaxation of the Aleksandrov condition for the Gauss Image Problem. This weaker condition turns out to be a necessary condition for two measures to be related by a convex body. We provide several properties of the new…

Metric Geometry · Mathematics 2024-10-01 Vadim Semenov

In this paper we study the the Gauss image problem, which is a generalization of the Aleksandrov problem in convex geometry. By considering a geometric flow involving Gauss curvature and functions of normal vectors and radial vectors, we…

Analysis of PDEs · Mathematics 2020-12-22 Li Chen , Di Wu , Ni Xiang

The Gauss curvature measure of a pointed Euclidean convex body is a measure on the unit sphere which extends the notion of Gauss curvature to non-smooth bodies. Alexandrov's problem consists in finding a convex body with given curvature…

Metric Geometry · Mathematics 2019-03-18 Jérôme Bertrand , Philippe Castillon

In his book on Convex Polyhedra (section 7.2), A.D. Aleksandrov raised a general question of finding variational statements and proofs of existence of polytopes with given geometric data. The first goal of this paper is to give a…

Differential Geometry · Mathematics 2007-05-23 Vladimir Oliker

In this paper we study the $L_p$ Gauss image problem, which is a generalization of the $L_p$ Aleksandrov problem and the Gauss image problem in convex geometry. We obtain the existence result for the $L_p$ Gauss image problem in two cases…

Analysis of PDEs · Mathematics 2021-05-07 Chuanxi Wu , Di Wu , Ni Xiang

The Gauss image problem for convex bodies asks for the existence of a convex body that "links" two given measures on the unit sphere in a certain way. We treat here a corresponding question for pseudo-cones, that is, for unbounded closed…

Metric Geometry · Mathematics 2025-02-06 Rolf Schneider

The curvature regularities are well-known for providing strong priors in the continuity of edges, which have been applied to a wide range of applications in image processing and computer vision. However, these models are usually non-convex,…

Numerical Analysis · Mathematics 2019-12-03 Qiuxiang Zhong , Ke Yin , Yuping Duan

In this paper we give a new proof of a theorem by Alexandrov on the Gauss curvature prescription of Euclidean convex sets. This proof is based on the duality theory of convex sets and on optimal mass transport. A noteworthy property of this…

Metric Geometry · Mathematics 2015-05-20 Jérôme Bertrand

We show a new, elementary and geometric proof of the classical Alexandrov theorem about the second order differentiability of convex functions. We also show new proofs of recent results about Lusin approximation of convex functions and…

Classical Analysis and ODEs · Mathematics 2023-08-02 Daniel Azagra , Anthony Cappello , Piotr Hajłasz

Weighted Gaussian Curvature is an important measurement for images. However, its conventional computation scheme has low performance, low accuracy and requires that the input image must be second order differentiable. To tackle these three…

Computer Vision and Pattern Recognition · Computer Science 2021-01-21 Yuanhao Gong , Wenming Tang , Lebin Zhou , Lantao Yu , Guoping Qiu

We propose a discrete approach for approximating solutions to the prescribed Gaussian curvature problem in two-dimensional manifolds, based on the notion of discrete conformality. Our approach provides an efficient numerical method to…

Geometric Topology · Mathematics 2025-10-14 Ziran Liu , Tianqi Wu

In discrete differential geometry, it is widely believed that the discrete Gaussian curvature of a polyhedral vertex star equals the algebraic area of its Gauss image. However, no complete proof has yet been described. We present an…

Differential Geometry · Mathematics 2019-09-23 Thomas F. Banchoff , Felix Günther

This article belongs to the area of geometric tomography, which is the study of geometric properties of solids based on data about their sections and projections. We describe a new direction in geometric tomography where different…

Functional Analysis · Mathematics 2023-02-10 Apostolos Giannopoulos , Alexander Koldobsky , Artem Zvavitch

We develop a compactness result near the boundary for families of locally convex immersions. We also develop a mod 2 degree theory for immersion of constant (and prescribed) Gaussian curvature with prescribed boundary. These are then used…

Differential Geometry · Mathematics 2011-03-17 Graham Smith

We consider the Suslov problem of nonholonomic rigid body motion with inhomogeneous constraints. We show that if the direction along which the Suslov constraint is enforced is perpendicular to a principal axis of inertia of the body, then…

Exactly Solvable and Integrable Systems · Physics 2014-11-04 Luis C. García-Naranjo , Andrzej J. Maciejewski , Juan C. Marrero , Maria Przybylska

Given an affine variety X and a finite dimensional vector space of regular functions L on X, we associate a convex body to (X, L) such that its volume is responsible for the number of solutions of a generic system of functions from L. This…

Algebraic Geometry · Mathematics 2008-04-28 Kiumars Kaveh , Askold G. Khovanskii

We derive a generalized deviation equation -- analogous to the well-known geodesic deviation equation -- for test bodies in General Relativity. Our result encompasses and generalizes previous extensions of the standard geodesic deviation…

General Relativity and Quantum Cosmology · Physics 2016-03-01 Dirk Puetzfeld , Yuri N. Obukhov

A Gauss equation is proved for subspaces of Alexandrov spaces of curvature bounded above by K. That is, a subspace of extrinsic curvature less than or equal to A, defined by a cubic inequality on the difference of arc and chord, has…

Differential Geometry · Mathematics 2007-05-23 Stephanie B. Alexander , Richard L. Bishop

This paper describes the theory of Minkowski problems for geometric measures in convex geometric analysis. The theory goes back to Minkowski and Aleksandrov and has been developed extensively in recent years. The paper surveys classical and…

Metric Geometry · Mathematics 2025-02-11 Yong Huang , Deane Yang , Gaoyang Zhzng

This paper addresses the problem of distributed coding of images whose correlation is driven by the motion of objects or positioning of the vision sensors. It concentrates on the problem where images are encoded with compressed linear…

Computer Vision and Pattern Recognition · Computer Science 2015-06-03 Vijayaraghavan Thirumalai , Pascal Frossard
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