Final Year IEEE Projects, Final Year Projects, Academic Final Year Projects, Academic Final Year IEEE Projects, Academic Final Year IEEE Projects 2013, Academic Final Year IEEE Projects 2014, IEEE MATLAB Projects, 2013 IEEE MATLAB Projects, 2013 IEEE MATLAB Projects in Chennai, 2013 IEEE MATLAB Projects in Trichy, 2013 IEEE MATLAB Projects in Karur, 2013 IEEE MATLAB Projects in Erode, 2013 IEEE MATLAB Projects in Madurai, 2013 IEEE MATLAB Projects in Salem, 2013 IEEE MATLAB Projects in Coimbatore, 2013 IEEE MATLAB Projects in Tirupur, 2013 IEEE MATLAB Projects in Bangalore, 2013 IEEE MATLAB Projects in Hydrabad, 2013 IEEE MATLAB Projects in Kerala, 2013 IEEE MATLAB Projects in Namakkal, IEEE MATLAB Image Processing, IEEE MATLAB Face Recognition, IEEE MATLAB Face Detection, IEEE MATLAB Brain Tumour, IEEE MATLAB Iris Recognition, IEEE MATLAB Image Segmentation, Final Year Matlab Projects in Pondichery, Final Year Matlab Projects in Tamilnadu, Final Year Matlab Projects in Chennai, Final Year Matlab Projects in Trichy, Final Year Matlab Projects in Erode, Final Year Matlab Projects in Karur, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Tirunelveli, Final Year Matlab Projects in Madurai, Final Year Matlab Projects in Salem, Final Year Matlab Projects in Tirupur, Final Year Matlab Projects in Namakkal, Final Year Matlab Projects in Tanjore, Final Year Matlab Projects in Coimbatore, Final Year Matlab Projects in Bangalore, Final Year Matlab Projects in Hydrabad, Final Year Matlab Projects in Kerala.
A hybrid multiview stereo algorithm for modeling urban scenes
1. A HYBRID MULTIVIEW STEREO ALGORITHM FOR
MODELING URBAN SCENES
ABSTRACT:
We present an original multiview stereo reconstruction algorithm which allows the 3D-modeling
of urban scenes as a combination of meshes and geometric primitives. The method provides a
compact model while preserving details: Irregular elements such as statues and ornaments are
described by meshes, whereas regular structures such as columns and walls are described by
primitives (planes, spheres, cylinders, cones, and tori).
We adopt a two-step strategy consisting first in segmenting the initial meshbased surface using a
multilabel Markov Random Field-based model and second in sampling primitive and mesh
components simultaneously on the obtained partition by a Jump-Diffusion process. The quality
of a reconstruction is measured by a multi-object energy model which takes into account both
photo-consistency and semantic considerations (i.e., geometry and shape layout).
The segmentation and sampling steps are embedded into an iterative refinement procedure which
provides an increasingly accurate hybrid representation. Experimental results on complex urban
structures and large scenes are presented and compared to state-of-the-art multiview stereo
meshing algorithms.
ECWAY TECHNOLOGIES
IEEE PROJECTS & SOFTWARE DEVELOPMENTS
OUR OFFICES @ CHENNAI / TRICHY / KARUR / ERODE / MADURAI / SALEM / COIMBATORE
BANGALORE / HYDRABAD
CELL: +91 98949 17187, +91 875487 1111 / 2111 / 3111 / 4111 / 5111 / 6111 / 8111
VISIT: www.ecwayprojects.com MAIL TO: ecwaytechnologies@gmail.com
