Wide-Baseline Foreground Object Interpolation Using Silhouette Shape Prior

Wide baseline image registration using prior information

Establishing correspondence between features in two images of the same scene taken from different viewing angles is a challenging problem in image processing and computer vision. However, its solution is an important step in many applications like wide baseline stereo, 3D model alignment, creation of panoramic views etc.In this paper, we propose a technique for registration of two images of a f...

Robust Object Recognition Using Wide Baseline Matching for RoboCup Applications

As the RoboCup leagues evolve, higher requirements (e.g. object recognition skills) are imposed over the robot vision systems, which cannot be fulfilled using simple mechanisms as pure color segmentation or visual sonar. In this context the main objective of this article is to propose a robust object recognition system, based on the wide-baseline matching between a reference image (object model...

Shape from inconsistent silhouette

Shape from Silhouette (SfS) is the general term used to refer to the techniques that obtain a volume estimate from a set of binary images. In a first step, a number of images are taken from different positions around the scene of interest. Later, each image is segmented to produce binary masks, also called silhouettes, to delimit the objects of interest. Finally, the volume estimate is obtained...

Shape from Silhouette Consensus

Many applications in computer vision require the 3D reconstruction of a shape from its different views. When the available information in the images is just a binary mask segmenting the object, the problem is called shape from silhouette (SfS). As first proposed by Baumgart [1], the shape is usually computed as the maximum volume consistent with the given set of silhouettes. This is called visu...

Retrieval of shape from silhouette