In reconstructing 3-D from images based on feature points, one usually defines a triangular mesh that has these feature points as vertices and displays the scene as a polyhedron. If the scene itself is a polyhedron, however, some of the displayed edges may be inconsistent with the true shape. This paper presents a new technique for automatically detecting and eliminating such inconsistencies by using a special template. 1
Techniques devoted to generate a triangular mesh from images either take as starting point a segment...
EI 2016 : IS&T International Symposium on Electronic Imaging , Feb 14-18, 2016 , San Francisco , CA ...
A common representation in 3-D computer vision is the polygonal surface mesh because meshes can mode...
A number of quite successful SFM solutions proposed focus on producing a sparse or dense set of feat...
This paper proposes an algorithm that solves the shape recovery problem from N arbitrary images. By ...
As computers can only represent and process discrete data, information gathered from the real world ...
Many techniques for reconstructing 3-D shapes from 2-D images use silhouette data. A problem with th...
Many techniques for reconstructing 3-D shapes from 2-D images use silhouette data. A problem with th...
Most of the existing algorithms for decimation of triangular meshes perform poorly at very low level...
We present a technique for recovering structural information from triangular meshes that can then be...
A project of surface meshing for still and animated images and associated software has been develope...
Abstract. Techniques devoted to generate a triangular mesh from images either take as starting point...
Limited by the regular grids in computing, many modelling approaches (e.g., field-based methods) sam...
We address the problem of reconstructing the shape of a solid object from sparse data, and of repres...
We propose an algorithm that extracts image features that are consistent with the 3D structure of th...
Techniques devoted to generate a triangular mesh from images either take as starting point a segment...
EI 2016 : IS&T International Symposium on Electronic Imaging , Feb 14-18, 2016 , San Francisco , CA ...
A common representation in 3-D computer vision is the polygonal surface mesh because meshes can mode...
A number of quite successful SFM solutions proposed focus on producing a sparse or dense set of feat...
This paper proposes an algorithm that solves the shape recovery problem from N arbitrary images. By ...
As computers can only represent and process discrete data, information gathered from the real world ...
Many techniques for reconstructing 3-D shapes from 2-D images use silhouette data. A problem with th...
Many techniques for reconstructing 3-D shapes from 2-D images use silhouette data. A problem with th...
Most of the existing algorithms for decimation of triangular meshes perform poorly at very low level...
We present a technique for recovering structural information from triangular meshes that can then be...
A project of surface meshing for still and animated images and associated software has been develope...
Abstract. Techniques devoted to generate a triangular mesh from images either take as starting point...
Limited by the regular grids in computing, many modelling approaches (e.g., field-based methods) sam...
We address the problem of reconstructing the shape of a solid object from sparse data, and of repres...
We propose an algorithm that extracts image features that are consistent with the 3D structure of th...
Techniques devoted to generate a triangular mesh from images either take as starting point a segment...
EI 2016 : IS&T International Symposium on Electronic Imaging , Feb 14-18, 2016 , San Francisco , CA ...
A common representation in 3-D computer vision is the polygonal surface mesh because meshes can mode...