نتایج جستجو برای: disjoint camera views

تعداد نتایج: 149291  

Journal: :Discrete Mathematics 2009
Michael A. Henning Christian Löwenstein Dieter Rautenbach

We solve a number of problems posed by Hedetniemi, Hedetniemi, Laskar, Markus, and Slater concerning pairs of disjoint sets in graphs which are dominating or independent and dominating.

1994
Andrzej Trybulec

The aim of this work is to provide a bridge between the theory of contextfree grammars developed in [10], [6] and universally free manysorted algebras([14]. The third scheme proved in the article allows to prove that two homomorphisms equal on the set of free generators are equal. The first scheme is a slight modification of the scheme in [6] and the second is rather technical, but since it was...

Journal: :Computer Vision and Image Understanding 2018
Lin Wu Yang Wang Zongyuan Ge Qichang Hu Xue Li

Given a pedestrian image as a query, the purpose of person re-identification is to identify the correct match from a large collection of gallery images depicting the same person captured by disjoint camera views. The critical challenge is how to construct a robust yet discriminative feature representation to capture the compounded variations in pedestrian appearance. To this end, deep learning ...

Journal: :CoRR 2016
Arsalan Mousavian Jana Kosecka

The problem visual place recognition is commonly used strategy for localization. Most successful appearance based methods typically rely on a large database of views endowed with local or global image descriptors and strive to retrieve the views of the same location. The quality of the results is often affected by the density of the reference views and the robustness of the image representation...

2001
Richard I. Hartley

It is known that a set of points in 3 dimensions is determined up to projectivity from two views with uncalibrated cameras. It is shown in this paper that this result may be improved by distinguishing between points in front of and behind the camera. Any point that lies in an image must lie in front of the camera producing that image. Using this idea, it is shown that the scene is determined fr...

2005
Fernando Caballero Luis Merino Joaquín Ferruz Aníbal Ollero

This paper presents a vision-based method to estimate the *real motion of a single camera from views of a planar patch. Projective techniques allow to estimate camera motion from pixel space apparent motion without explicit 3-D reconstruction. In addition, the paper will present the HELINSPEC project, the framework where the proposed method has been tested, and will detail some applications in ...

2013
L. Thomas R. Vernet B. Tremblais L. David

The tomography-PIV is using multiple camera views for a full tomographic reconstruction of the object space, which is represented by a 3-D voxel structure with a resolution adapted to the camera resolution. Influences of different parameters such as the images pre-processing, the volume discretization and the weighting matrix, the algorithm initialization and the cameras angles, the volume thic...

1993
C.–E. Liedtke R. Koch

An approach for the modelling of complex 3D scenes like outdoor street views from a sequence of stereoscopic image pairs is presented. Starting with conventional stereoscopic correspondence analysis a 3D model scene with true 3D geometry is generated. Not only the scene geometry but also surface texture is stored within the model. 3D camera motion can be estimated directly from the image sequen...

Journal: :CoRR 2017
Zhou Yin Wei-Shi Zheng Ancong Wu Hong-Xing Yu Hai Wang Jian-Huang Lai

While attributes have been widely used for person re-identification (Re-ID) that matches the same person images across disjoint camera views, they are used either as extra features or for performing multi-task learning to assist the image-image person matching task. However, how to find a set of person images according to a given attribute description, which is very practical in many surveillan...

1992
Sabine Demey Andrew Zisserman Paul A. Beardsley

We demonstrate the recovery of 3D structure from multiple images, without attempting to determine the motion between views. The structure is recovered up to a transformation by a 3D linear group the affine and projective group. The recovery does not require knowledge of camera intrinsic parameters or camera motion. Three methods for recovering such structure based on point correspondences are d...

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