Shape-From-Silhouette Across Time Part I: Theory and Algorithms

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

On Combining Shape from Silhouette and Shape from Structured Light

This paper presents an octree based method of three-dimensional reconstruction of objects using a combination of two different methods, Shape from Silhouette and Shape from Structured Light, focusing on reconstruction of archaeological vessels. Shape from Silhouette is a method suitable for reconstruction of objects with handles, whereas it is unable to reconstruct concavities on an object’s su...

Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo

Visual Hull (VH) construction from silhouette images is a popular method of shape estimation. The method, also known as Shape-From-Silhouette (SFS), is used in many applications such as non-invasive 3D model acquisition, obstacle avoidance, and more recently human motion tracking and analysis. One of the limitations of SFS, however, is that the approximated shape can be very coarse when there a...