Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bylow, Erik"'
This paper tackles the problem of data abstraction in the context of 3D point sets. Our method classifies points into different geometric primitives, such as planes and cones, leading to a compact representation of the data. Being based on a semi-glo
Externí odkaz:
http://arxiv.org/abs/2005.07457
This paper considers the problem of finding a low rank matrix from observations of linear combinations of its elements. It is well known that if the problem fulfills a restricted isometry property (RIP), convex relaxations using the nuclear norm typi
Externí odkaz:
http://arxiv.org/abs/1706.05855
Autor:
Bylow, Erik
This thesis explores methods for estimating 3D models using depth sensors andfinding low-rank approximations of matrices. In the first part we focus on how toestimate the movement of a depth camera and creating a 3D model of the scene.Given an accura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1110::dd400bb07af7bf1182765a8dbe7d0014
https://lup.lub.lu.se/record/a8a053ef-58da-42f5-b05d-69491b07c787
https://lup.lub.lu.se/record/a8a053ef-58da-42f5-b05d-69491b07c787
In many areas, the ability to create accurate 3D models is of great interest, for example, in computer vision, robotics, architecture, and augmented reality. In this paper we show how a textured indoor environment can be reconstructed in 3D using an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2134aa1ffd80178188336fd85d489bfa
http://lup.lub.lu.se/record/3917466
http://lup.lub.lu.se/record/3917466
Publikováno v:
2016 IEEE Conference on Computer Vision & Pattern Recognition (CVPR); 2016, p5887-5895, 9p
Publikováno v:
2014 22nd International Conference on Pattern Recognition; 2014, p4038-4043, 6p
Publikováno v:
Computer Vision - ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part III; 2014, p250-265, 16p
Publikováno v:
Pattern Recognition (9783642406010); 2013, p405-414, 10p