Semantic search

Jump to: navigation, search

[Edit query]| Show embed code


Previous     Results 60– 79    Next        (20 | 50 | 100 | 250 | 500)
Wiki Page: 2010-05-11-153757.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: File:2011 07 Koyuncu Anil.pdf

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: File:2013 04 Zoppi.PDF

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 2013-06-05 13.23.46.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 20170109 111719.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: File:24 minuti.pdf

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 253151 10150209171287430 4925127 n.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 28042010447.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 28042010448.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 29652 1396931876903 1040426215 1146022 2890169 n.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 296834 10150265312801143 1840200 n.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 2D Mapping Using a Quadtree Data Structure

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 2nd Level Course Projects

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 2nd Level Theses

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 3.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 360view ghost removal

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 3D Reconstruction

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 3D Scene Understanding
FreeCamera.png

Title: 3D Indoor scene understanding and layout reconstruction for a mobile robot in collaboration with UnimiB
Description: The proposed project aims to reconstruct the 3D structural layout of an indoor environment perceived by a mobile robot. From the sensorial data, the robot should be able to reconstruct a geometrical structure of an indoor environment (e.g., an office).

Methods for indoor layout reconstruction must be significantly more tolerant to missing data than their outdoor counterparts, since environments such as offices and apartments exhibit extremely high levels of clutter, which typically results in heavy occlusions of walls and other structures of interest, large-scale artifacts, noise and missing data. The proposed work will be developed in collaboration with IRALAB, the Robotics Lab of University of Milano Bicocca.

The work will be based on an existing project, Free Your Camera (http://www.ira.disco.unimib.it/research/robotic-perception-research/free-your-camera-3d-indoor-scene-understanding-from-arbitrary-camera-motion/) and will be part of a robotic framework based on with ROS and in development at IRALAB.
Tutor: FrancescoAmigoni, MatteoLuperto
Additional Info: CFU 10 - 20 / Master of Science / Thesis

Wiki Page: 4bccd144-16ad-4198-9fa7-3922186232d8.jpg

Title:
Description:
Tutor:
Additional Info: CFU

Wiki Page: 6824 1047567966358 1740450365 94028 4937506 n.jpg

Title:
Description:
Tutor:
Additional Info: CFU

warning.png
  • Some part "<nowiki></nowiki>" of the query was not understood.
  • The symbol "" of the query was not understood. Results might not be as expected.
  • The part "Active" of the query was not understood. Results might not be as expected.
  • The part "" of the query was not understood. Results might not be as expected.
  • Some subquery has no valid condition.
Previous     Results 60– 79    Next        (20 | 50 | 100 | 250 | 500)