Bottom-up/Top-down Geometric Object Reconstruction with CNN Classification for Mobile Education

Our algorithm deforms a closed oriented pseudo-surface embedded in the 3D Delaunay triangulation of the sampled points, and the reconstructed surface consists of a set of

In this paper, we propose a generic algorithm to automat- ically detect geometric constraints on motions as well as in- teraction constraints with objects of the scene.. Our method

Once the Edge Graph can be matched to a template within T-LIB, the 3D object can be generated in a basic shape reconstruction procedure, or modified in 3D shape

We present a novel approach for obtaining a complete and consistent 3D model representation from incomplete surface scans, using a database of 3D shapes to provide geometric priors

We have proposed a simple and effective technique to color an object surface in order to enhance the perception of its geometric shape once the object is printed using recent

In our approach a 3D visual vocabulary is defined by extracting and grouping the geometric features of the ob- ject sub-parts from the dataset, after 3D object segmenta- tion..

Figure 9: Images taken with a camera of difference plots which are projected onto a real object: (a) Indirect geometric regis- tration with gray code; (b) Direct geometric

To provide the basis for these applications, we present an approach for the detection of the ostium that takes the polygonal surface data, one manually selected point on the