Results 171 to 180 of about 861,374 (204)

Projective rectification without epipolar geometry

Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 2003
We present a novel algorithm performing projective rectification which does not require explicit computation of the epipolar geometry and specifically of the fundamental matrix. Instead of finding the epipoles and computing two homographies mapping the epipoles to infinity, as done in recent work on projective rectification, we exploit the fact that ...
ISGRO', FRANCESCO, E. TRUCCO
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On the epipolar geometry of the Crossed-Slits projection

Proceedings Ninth IEEE International Conference on Computer Vision, 2003
The Crossed-Slits (X-Slits) camera is defined by two nonintersecting slits, which replace the pinhole in the common perspective camera. Each point in space is projected to the image plane by a ray which passes through the point and the two slits. The X-Slits projection model includes the pushbroom camera as a special case.
Doron Feldman, Tomás Pajdla, Daphna Weinshall   +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
Tomás Svoboda, Tomás Pajdla, Václav Hlavác   +2 more
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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
Mingxing Hu, Gordon Dodds, Baozong Yuan
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Asynchronous Event-Based Hebbian Epipolar Geometry

IEEE Transactions on Neural Networks, 2011
Epipolar geometry, the cornerstone of perspective stereo vision, has been studied extensively since the advent of computer vision. Establishing such a geometric constraint is of primary importance, as it allows the recovery of the 3-D structure of scenes.
Ryad Benosman, Sio-Hoi Ieng, Paul Rogister, Christoph Posch   +3 more
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Contour matching by epipolar geometry

SPIE Proceedings, 2003
Matching features computed in images is an important process in multiview image analysis. When the motion between two images is large, the matching problem becomes very difficult. In this paper, we propose a contour matching algorithm based on geometric constraints.
Mao-Lin Hu, Damin Zhang, Sui Wei
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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).
Takeshi Kurata, Jun Fujiki, Katsuhiko Sakaue   +2 more
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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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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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A novel linear technique to estimate the epipolar geometry

2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002
The accurate reconstruction of the 3D scene structure from two different projections and the estimation of the camera scene geometry is of paramount importance in many computer vision tasks. Most of the information about the camera-scene geometry is encapsulated in the fundamental matrix. Estimating the fundamental matrix has been an object of research
Ebroul Izquierdo, Valia Guerra
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