Ultra-High Resolution Optical Coherence Tomography is a novel imaging technology that allows non-invasive, high speed, cellular resolution imaging of anatomical structures in the human eye, including the retina and the cornea. A three-dimensional study of the cornea, for example, requires the segmentation and mutual alignment of a large number of two-dimensional images. Such segmentation has, u...

We present a linear approach to the 3D reconstruction problem from occluding contours using algebraic surfaces. The problem of noise and missing data in the occluding contours extracted from the images leads us to this approach. Our approach is based first on the intensive use of the duality property between 3D points and tangent planes, and second on the algebraic representation of 3D surfaces...

Estimating depth maps is an important step towards 3D reconstruction. In order to compensate the insufficiencies that different image based methods impose, a fusion of multiple information sources for depth estimation is proposed. This article concentrates on obtaining depth information by fusing combined stereo and focus series, which are efficiently gained using a multivariate camera array.

Recently, many 3D contents production tools using multiview system has been introduced: e.g., depth estimation, 3D reconstruction and so forth. However, there is color mismatch problem in multiview system and it can cause big differences for the final result. In this paper we propose a color correction method using 3D multi-view geometry. The propose method finds correspondences between source ...

In this paper we present a general solution to the problem of 3D reconstruction from the analysis of luminance edges, which takes into account possible viewer-dependent characteristics of such contours. The method first proceeds by matching contours in a loose fashion, so that both sharp edges and horizons are included. Classical stereometric methods allow us to detect sharp edges and rule out ...

We propose an aane framework for perspective views, captured by a single extremely simple equation based on a viewer-centered invariant we call relative aane structure. Via a number of corollaries of our main results we show that our framework uniies previous work | including Euclidean, projective and aane | in a natural and simple way. Finally, the main results were applied to a real image seq...

Computer 3D reconstruction consisting of reconstruction of 3D point clouds and images plays an important role in computer graphics, computer image processing and computer vision research. Image based 3D reconstruction includes reconstruction of single image and multiple images. Compared to obtain 3D mode by modeling software or scan tester traditionally, image-based 3D reconstruction is feature...

This study develops a 3D facial reconstruction system in which the perspective projection model is approximated by applying a factorization method to the piecewise orthographic projection model. The proposed system comprises five modules. The first and second modules reconstruct the 3D facial surface using a factorization method based on an orthographic projection model. However, the facial vid...

This project aims to estimate the pose of an object in the image. Pose estimation problem is known to be an open problem and also a crucial problem in computer vision field. Many real-world tasks depend heavily on or can be improved by a good pose estimation. For example, by knowing the exact pose of an object, robots will know where to sit on, how to grasp, or avoid collision when walking arou...