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A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry
, 1994
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White Point Estimation for Uncalibrated Images
- In Proceedings of the Seventh Color Imaging Conference (CIC’99). Imaging Science and Technology Society
, 1999
"... Color images often must be color balanced to remove unwanted color casts. We extend previous work on using a neural network for illumination, or white-point, estimation from the case of calibrated images to that of uncalibrated images of unknown origin. The results show that the chromaticity of the ..."
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Cited by 20 (1 self)
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Color images often must be color balanced to remove unwanted color casts. We extend previous work on using a neural network for illumination, or white-point, estimation from the case of calibrated images to that of uncalibrated images of unknown origin. The results show that the chromaticity
Euclidean structure from uncalibrated images
- Proceedings of the fth British Machine Vision Conference
, 1994
"... A number of recent papers have demonstrated that camera "self-calibration " can be accomplished purely from image measurements, without requiring special calibration objects or known camera mo-tion. We describe a method, based on self-calibration, for obtaining (scaled) Euclidean structure ..."
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Cited by 32 (1 self)
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structure from multiple uncalibrated perspective images using only point matches between views. The method is in two stages. First, using an uncalibrated cam-era, structure is recovered up to an affine ambiguity from two views. Second, from one or more further views of this affine structure the camera
Detecting Planes In An Uncalibrated Image Pair
- in: Proc. BMVCÕ02
, 2002
"... Plane detection is a prerequisite to a wide variety of vision tasks. This paper proposes a novel method that exploits results from projective geometry to automatically detect planes using two images. Using a set of point and line features that have been matched between images, the method exploits ..."
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Cited by 11 (1 self)
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Plane detection is a prerequisite to a wide variety of vision tasks. This paper proposes a novel method that exploits results from projective geometry to automatically detect planes using two images. Using a set of point and line features that have been matched between images, the method
Visual Trajectories from Uncalibrated Images
- In Workshop on New Trends in Image-Based Robot Servoing
, 1997
"... This paper proposes a methodological framework for trajectory generation in projective space. The framework enables trajectories that respect rigidity constraints of structure and motion, that are furthermore uniform and optimal in terms of Euclidean configuration, eventhough no camera calibration i ..."
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Cited by 6 (3 self)
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is assumed. In a projective reconstruction of the scene, obtained e.g. from an uncalibrated stereo-rig, the homography between corresponding feature points on a rigid object in different positions is employed to represent its spatial configuration. From its algebraic structure - it is similar to a rigid
3D Model Acquisition from Uncalibrated Images
- MVA'98
, 1998
"... In this paper we address the problem of recovering 3D models from uncalibrated images of architectural scenes. We propose a simple, geometrically intuitive method which exploits strong rigidity constraints such as parallelism and orthogonality present in indoor and outdoor architectural scences. We ..."
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Cited by 23 (4 self)
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In this paper we address the problem of recovering 3D models from uncalibrated images of architectural scenes. We propose a simple, geometrically intuitive method which exploits strong rigidity constraints such as parallelism and orthogonality present in indoor and outdoor architectural scences. We
3d geometry from uncalibrated images
- In Proc. ISVC
, 2006
"... Abstract. We present an automatic pipeline for recovering the geometry of a 3D scene from a set of unordered, uncalibrated images. The contributions in the paper are the presentation of the system as a whole, from images to geometry, the estimation of the local scale for various scene components in ..."
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Cited by 6 (0 self)
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Abstract. We present an automatic pipeline for recovering the geometry of a 3D scene from a set of unordered, uncalibrated images. The contributions in the paper are the presentation of the system as a whole, from images to geometry, the estimation of the local scale for various scene components
View Synthesis From A Single Uncalibrated Image
"... This paper presents a method for generating synthetic views of a soccer ground starting from a single uncalibrated image. The relative affine structure of the players is computed by exploiting the knowledge of the soccer ground geometry and the fact that the players are in vertical positions. Then, ..."
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This paper presents a method for generating synthetic views of a soccer ground starting from a single uncalibrated image. The relative affine structure of the players is computed by exploiting the knowledge of the soccer ground geometry and the fact that the players are in vertical positions. Then
From Lines to Homographies between Uncalibrated Images
"... A robust method to compute homographies using lines in two uncalibrated images is presented and tested. Line features can usually be extracted and matched more accurately than points and they can be used in cases where there are partial occlusions. Lines and points are dual features to compute homog ..."
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A robust method to compute homographies using lines in two uncalibrated images is presented and tested. Line features can usually be extracted and matched more accurately than points and they can be used in cases where there are partial occlusions. Lines and points are dual features to compute
METROLOGY IN UNCALIBRATED IMAGES GIVEN ONE VANISHING POINT
"... In this paper, we describe how 3D Euclidean measurements can be made in a pair of uncalibrated images, when only minimal geometric information are available in the image planes. This minimal information consists of a line in a reference plane, and the vanishing point orthogonal to it. Given such lim ..."
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In this paper, we describe how 3D Euclidean measurements can be made in a pair of uncalibrated images, when only minimal geometric information are available in the image planes. This minimal information consists of a line in a reference plane, and the vanishing point orthogonal to it. Given
Results 1 - 10
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9,937