dc.contributor |
Willems, Geert |
dc.contributor |
Van Gool, Luc |
dc.contributor.author |
Jofre Ponsati, Jordi |
dc.date |
2009-06-15 |
dc.identifier.uri |
http://hdl.handle.net/2099.1/8525 |
dc.language.iso |
eng |
dc.publisher |
Universitat Politècnica de Catalunya |
dc.rights |
Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject |
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo |
dc.subject |
Computers, Pipeline |
dc.subject |
PiXELS 3D |
dc.subject |
Imaging systems |
dc.subject |
Overlapping |
dc.subject |
Range images |
dc.subject |
Representació visual en tres dimensions |
dc.subject |
Imatge, Tècniques d' |
dc.title |
Integration of multiple overlapping range images |
dc.type |
info:eu-repo/semantics/masterThesis |
dc.description.abstract |
The work described in this document continues the developing of an online 3D
reconstruction pipeline for the ESAT-PSI department of K.U. Leuven (Belgium). The
idea of this 3D reconstruction pipeline is that only a digital photo camera and Internet
connection is necessary for a user to reconstruct scenes in 3D. The process of
obtaining a 3D model from the reconstruction pipeline involves the following main three
phases: the data acquisition step of the desired object, the data 3D reconstruction of
the partial views and the integration of partial reconstructions in one single 3D model.
In the data acquisition phase, some regular images are taken by a consumer-grade
digital camera of the target object and uploaded to the reconstruction server. In the
reconstruction step, the position (and internal parameters) of the camera is computed
for each image. Stereo algorithms are used to create partial reconstructions from each
image that are all aligned in a common coordinate system. Both steps have already
been developed. In the integration phase, we aim to all these partial reconstructions
into single 3D model representation. It is this place that being developed in this Master
Thesis.
A volumetric integration technique for merging multiple aligned overlapping range
images based on the Marching Intersections algorithm is implemented. Furthermore,
several techniques are implemented to improve the quality of the 3D final
representation. These techniques are:
- A filtering procedure of the partial reconstructions.
- A weighted function according to the data input confidence.
- A triangular mesh-based hole-filling algorithm.
- An algorithm for creating a texture by stitching color information from the set of
RGB input images using camera’s visibility information.
We analyze and obtain conclusions about the results of the implemented integration
algorithm and how works the proposed improving techniques. Finally, we analyze a
comparison between our application and the volumetric integration algorithm called
VripPack. |