1. The problem While sparse 3D reconstructions of scenes suffice for popular applications such as photo-tourism, detailed 3D digital reconstruction of objects has applications in many fields such as computer graphics and cultural heritage preservation. Although laser scanning is usually employed for this purpose, detailed 3D reconstruction from multiview images is more cost-efficient. In this p...

One of the key technologies for one-to-many visual communication is panoramic stereo, in which stereoscopic images for arbitrary horizontal directions are presented to multiple users, according to their positions and postures. In this paper, one of the methods for capturing panoramic stereo motion pictures is proposed and evaluated, along with an experimentation. Through preliminary experimenta...

Camera calibration is an important step in the initialisation of many stereo vision systems. The accuracy of camera parameters has a marked effect on the data obtained from a stereo vision system. In this paper, we describe some difficulties met in an attempt to build a calibration system based on Tsai’s Algorithm [Tsai, 1987]. We also offer some methods to overcome these problems. An overview ...

This thesis describes methods for fitting local planar surface elements, that we call patchlets, to 3D data obtained from correlation stereo images. We use these patchlets to robustly extract and estimate bounded planar surfaces from complex and noisy stereo scenes. The patchlet element is a small planar surface the size of a pixel projected onto a world surface. It has a position, a normal dir...

Most binocular stereo algorithms assume that all scene elements are visible from both cameras. Scene elements that are visible from only one camera, known as occlusions, pose an important challenge for stereo. Occlusions are important for segmentation, because they appear near discontinuities. However, stereo algorithms tend to ignore occlusions because of their difficulty. One reason is that o...

Stereo reconstruction serves many outdoor applications, and thus sometimes faces foggy weather. The quality of the reconstruction by state of the art algorithms is then degraded as contrast is reduced with the distance because of scattering. However, as shown by defogging algorithms from a single image, fog provides an extra depth cue in the gray level of far away objects. Our idea is thus to t...

Specular reflections present difficulties for many areas of computer vision such as stereo and segmentation. To separate specular and diffuse reflection components, previous approaches generally require accurate segmentation, regionally uniform reflectance or structured lighting. To overcome these limiting assumptions, we propose a method based on color analysis and multibaseline stereo that si...

To authenticate and protect stereo image simultaneously, this paper proposes a depth perception based multipurpose stereo image watermarking method for three dimensional television systems. The proposed method embeds semi-fragile and robust watermark for different purpose. In order to assure quality of watermarked stereo images, binocular perception is used to divide stereo image into region of...

This paper deals with the problem of estimating an appropriate hand posture to grasp an object, from 2D object’s visual cues in a many-to-many (objects,grasp) configuration. A statistical learning protocol implementing vector-valued regression is adopted for both classifying the most likely grasp type and estimating the hand posture. An extensive experimental evaluation on a publicly available ...