Results 171 to 180 of about 9,486 (203)

Evolutionary agents for epipolar geometry estimation

2004 International Conference on Image Processing, 2004. ICIP '04., 2005
This paper presents an evolutionary agent-based approach to epipolar geometry estimation. Each agent stands for a minimum subset for computing fundamental matrix, and evolves autonomously in the vast solution space to get the optimal result. In so doing, the agents rely on some reactive behaviors such as reproduction and diffusion, and collaborate with
null Mingxing Hu, G. Dodds, null Raozong Yuan   +2 more
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Camera Models and Epipolar Geometry

1996
In this chapter we present a detailed description of the epipolar geometry between two images taken by two different cameras or by a single camera at two different time instants. Since it is intimately related to camera models, we will start from modeling cameras, followed by several approximations to the full perspective projection.
Gang Xu, Zhengyou Zhang
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Affine epipolar geometry via factorization method

Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 2002
We present the intuitive interpretation of affine epipolar geometry for the orthographic, scaled orthographic, and paraperspective projection models in terms of the factorization method for the generalized affine projection (GAP) model proposed by Fujiki and Kurata (1997).
T. Kurata, J. Fujiki, K. Sakaue
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Epipolar Geometry in Polycentric Panoramas

2001
This paper proposes a new and general model of panoramic images, namely polycentric panoramas, which formalizes the essential characteristics of panoramic image acquisition geometry. This new model is able to describe a wide range of panoramic images including those which have been previously introduced such as single-center, multi-perspective, or ...
Fay Huang, Shou Kang Wei, Reinhard Klette   +2 more
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Epipolar geometry for panoramic cameras

1998
This paper presents fundamental theory and design of central panoramic cameras. Panoramic cameras combine a convex hyperbolic or parabolic mirror with a perspective camera to obtain a large field of view. We show how to design a panoramic camera with a tractable geometry and we propose a simple calibration method. We derive the image formation function
Tomáš Svoboda, Tomáš Pajdla, Václav Hlaváč   +2 more
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Orthographic-Perspective Epipolar Geometry

2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Larsson, Viktor, Pollefeys, Marc, Oskarsson, Magnus   +2 more
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Motion retrieval using consistency of epipolar geometry

2015 IEEE International Conference on Image Processing (ICIP), 2015
In this paper, we present an efficient method for motion retrieval method based on the consistency of the homographies with the epipolar geometry. We treat the body pose as body point triplets and use the fact that each homography obtained from corresponding body point triplets should be consistent with epipolar geometry to estimate the similarity of ...
Ashraf, Nazim, Foroosh, Hassan
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Visual servoing based on epipolar geometry

Proceedings. 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2000) (Cat. No.00CH37113), 2002
In this paper, we propose a new image-based approach using epipolar geometry. The problem which is addressed can be stated as follows: starting from a Cartesian situation, we want to drive the robot to a desired one using only image data provided during the robot motion. With regard to classical image-based visual servoing, we assume no prior knowledge
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Robust epipolar geometry using genetic algorithm

1997
Epipolar geometry is an important constraint to establish the correspondences in stereo vision. The 3 × 3 fundamental matrix describes the epipolar geometry between two uncalibrated images. In this paper, we formulate the epipolar geometry estimation as a global optimization probelm, and then we present a genetic algorithm for parameter searching ...
Jinxiang Chai, SongDe Ma
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Recovery of Epipolar Geometry from Points

1996
In this chapter, we present a number of methods to recover the epipolar geometry between two images from point matches. When the images are calibrated (i.e. their intrinsic parameters are known), the problem is equivalent to determining motion and structure. This has been widely studied in the last fifteen years.
Gang Xu, Zhengyou Zhang
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