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Traditionally, the P3P problem is solved by firstly transforming its 3 quadratic equations into a quartic one, then by locating the roots of the resulting quartic equation and verifying whether a root does really correspond to a true…

Computer Vision and Pattern Recognition · Computer Science 2019-02-01 Bo Wang , Hao Hu , Caixia Zhang

Traditionally the danger cylinder is intimately related to the solution stability in P3P problem. In this work, we show that the danger cylinder is also closely related to the multiple-solution phenomenon. More specifically, we show when…

Computer Vision and Pattern Recognition · Computer Science 2019-06-21 Bo wang , Hao Hu , Caixia Zhang

The Perspective-Three-Point Problem (P3P) is solved by first focusing on determining the directions of the lines through pairs of control points, relative to the camera, rather than the distances from the camera to the control points. The…

Computer Vision and Pattern Recognition · Computer Science 2025-02-12 Michael Q. Rieck

This paper investigates singular configurations of the P3P problem. Using local dual space, a systematic algebraic-computational framework is proposed to give a complete geometric stratification for the P3P singular configurations with…

Computer Vision and Pattern Recognition · Computer Science 2026-02-16 Xueying Sun , Zijia Li , Nan Li

We consider the set multi-cover problem in geometric settings. Given a set of points P and a collection of geometric shapes (or sets) F, we wish to find a minimum cardinality subset of F such that each point p in P is covered by (contained…

Computational Geometry · Computer Science 2009-09-04 Chandra Chekuri , Kenneth L. Clarkson , Sariel Har-Peled

We propose a conic transformation method to solve the Perspective-Three-Point (P3P) problem. In contrast to the current state-of-the-art solvers, which formulate the P3P problem by intersecting two conics and constructing a degenerate conic…

Computer Vision and Pattern Recognition · Computer Science 2025-04-03 Haidong Wu , Snehal Bhayani , Janne Heikkilä

Blind Perspective-n-Point (PnP) is the problem of estimating the position and orientation of a camera relative to a scene, given 2D image points and 3D scene points, without prior knowledge of the 2D-3D correspondences. Solving for pose and…

Computer Vision and Pattern Recognition · Computer Science 2020-09-09 Dylan Campbell , Liu Liu , Stephen Gould

In this work, we present an algebraic solution to the classical perspective-3-point (P3P) problem for determining the position and attitude of a camera from observations of three known reference points. In contrast to previous approaches,…

Computer Vision and Pattern Recognition · Computer Science 2017-01-31 Tong Ke , Stergios Roumeliotis

We present a complete classification of minimal problems for generic arrangements of points and lines in space observed partially by three calibrated perspective cameras when each line is incident to at most one point. This is a large class…

Computer Vision and Pattern Recognition · Computer Science 2020-03-12 Timothy Duff , Kathlén Kohn , Anton Leykin , Tomas Pajdla

For a triangle $\Delta$, let (P) denote the problem of the existence of points in the plane of $\Delta$, that are at rational distance to the 3 vertices of $\Delta$. Answer to (P) is known to be positive in the following situation: $\Delta$…

Number Theory · Mathematics 2013-01-29 Roy Barbara , Antoine Karam

We revisit the classical Perspective-Three-Point (P3P) problem, which aims to recover the absolute pose of a calibrated camera from three 2D-3D correspondences. It has long been known that P3P can be reduced to a quartic polynomial with…

Computer Vision and Pattern Recognition · Computer Science 2026-04-13 Seong Hun Lee , Patrick Vandewalle , Javier Civera

In this paper, a statistically optimal solution to the Perspective-n-Point (PnP) problem is presented. Many solutions to the PnP problem are geometrically optimal, but do not consider the uncertainties of the observations. In addition, it…

Computer Vision and Pattern Recognition · Computer Science 2016-07-28 Steffen Urban , Jens Leitloff , Stefan Hinz

Conformal mapping is an important mathematical tool in many physical and engineering fields, especially in electrostatics, fluid mechanics, classical mechanics, and transformation optics. However in the existing textbooks and literatures,…

Classical Physics · Physics 2015-11-10 Weimin Wang , Wenying Ma , Qiang Wang , Hao Ren

The vertex p-center problem consists of locating p facilities among a set of M potential sites such that the maximum distance from any demand to its closest located facility is minimized. The complete vertex p-center problem solves the…

Optimization and Control · Mathematics 2021-09-28 F. Antonio Medrano

We consider the robust Perspective-n-Point (PnP) problem using a hybrid approach that combines deep learning with model based algorithms. PnP is the problem of estimating the pose of a calibrated camera given a set of 3D points in the world…

Computer Vision and Pattern Recognition · Computer Science 2020-03-11 Roy Sheffer , Ami Wiesel

In the point set embeddability problem, we are given a plane graph $G$ with $n$ vertices and a point set $S$ with $n$ points. Now the goal is to answer the question whether there exists a straight-line drawing of $G$ such that each vertex…

Computational Geometry · Computer Science 2020-05-13 Tanaeem M. Moosa , M. Sohel Rahman

The matching of multiple objects (e.g. shapes or images) is a fundamental problem in vision and graphics. In order to robustly handle ambiguities, noise and repetitive patterns in challenging real-world settings, it is essential to take…

Computer Vision and Pattern Recognition · Computer Science 2019-03-15 Florian Bernard , Johan Thunberg , Paul Swoboda , Christian Theobalt

The goal of Point Distance Solving Problems is to find 2D or 3D placements of points knowing distances between some pairs of points. The common guideline is to solve them by a numerical iterative method (\emph{e.g.} Newton-Raphson method).…

Computational Geometry · Computer Science 2016-07-27 Rémi Imbach , Pascal Mathis , Pascal Schreck

Determining the position and orientation of a calibrated camera from a single image with respect to a 3D model is an essential task for many applications. When 2D-3D correspondences can be obtained reliably, perspective-n-point solvers can…

Computer Vision and Pattern Recognition · Computer Science 2019-06-19 Dylan Campbell , Lars Petersson , Laurent Kneip , Hongdong Li , Stephen Gould

We study the challenging problem of estimating the relative pose of three calibrated cameras from four point correspondences. We propose novel efficient solutions to this problem that are based on the simple idea of using four…

Computer Vision and Pattern Recognition · Computer Science 2025-11-07 Charalambos Tzamos , Viktor Kocur , Yaqing Ding , Daniel Barath , Zuzana Berger Haladova , Torsten Sattler , Zuzana Kukelova
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