In the literature we nd two classes of algorithms which, on the basis of two views of a scene, recover the rigid transformation between the views and subsequently the structure of the scene. The rst class contains techniques which require knowledge of the correspondence or the motion eld between the images and are based on the epipolar constraint. The second class contains so-called direct algo...

The decomposition of light transport into direct and global components, diffuse specular interreflections, subsurface scattering allows for new visualizations in everyday scenes. In particular, indirect contains a myriad information about the complex appearance materials useful computer vision inverse rendering applications. this paper, we present imaging technique that captures analyzes compon...

This paper intends to present and analyze all the necessary steps one needs to take in order to build a simple application for relative pose structure from motion using only the epipolar constraint. In other words, to illustrate in practice (i.e,, cook-book style) about how the most fundamental of concepts in epipolar geometry can be combined into a complete and disambiguated series of steps fo...

Computational approaches to stereo matching have often taken advantage of a geometric constraint which states that matching elements in the left and right eye images will always fall on "epipolar lines". The use of this epipolar constraint reduces the search space from two dimensions to one, producing a tremendous saving in the computation time required to find the matching solution. Use of thi...

Camera is widely used for 3D-Reconstruction and Recognition where a fundamental task is point correspondence that finds the corresponding points captured by different cameras from the same 3D-point. The approaches based on epipolar constraint are very effective for the task. However, they set the threshold of epipolar constraint by empirical method, and their complexity and computational cost w...

We address in this paper the problem of self-calibration and metric reconstruction (up to a scale) from one unknown motion of an uncalibrated stereo rig. The epipolar constraint is first formulated for two uncalibrated images. The problem then becomes one of estimating unknowns such that the discrepancy from the epipolar constraint, in terms of sum of squared distances between points and their ...

We present a geometric approach to 3D motion segmentation of multiple moving objects seen in two perspective views. Our approach is based on the multibody epipolar constraint and its associated multibody fundamental matrix, which are generalizations of the epipolar constraint and of the fundamental matrix to multiple moving objects. We show how to linearly solve for the multibody fundamental ma...

Image stereo-rectification is the process by which two images of the same solid scene undergo homographic transforms, so that their corresponding epipolar lines coincide and become parallel to the x-axis of image. A pair of stereo-rectified images is helpful for dense stereo matching algorithms. It restricts the search domain for each match to a line parallel to the x-axis. Due to the redundant...

A new technique is introduced for registration and integration of multiple partial 3D models of an object. The technique exploits the epipolar constraint for the multiple-view geometry. Partial 3D shapes of an object from multiple viewing directions are obtained using a digital vision system based on parallel-axis stereo. The vision system is calibrated to obtain an initial tranformation matrix...

The wide-baseline stereo problem, i.e. the problem of establishing correspondences between a pair of images taken from different viewpoints is studied. A new set of image elements that are put into correspondence, the so called extremal regions, is introduced. Extremal regions possess highly desirable properties: the set is closed under 1. continuous (and thus projective) transformation of imag...