Abstract not found

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

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

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

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

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

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

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

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

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