Improving Multi-view Object Recognition by Detecting Changes in Point Clouds

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F16%3APU121600" target="_blank" >RIV/00216305:26230/16:PU121600 - isvavai.cz</a>

Result on the web

<a href="http://ieeexplore.ieee.org/document/7850045/" target="_blank" >http://ieeexplore.ieee.org/document/7850045/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/SSCI.2016.7850045" target="_blank" >10.1109/SSCI.2016.7850045</a>

Result language

angličtina

Original language name

Improving Multi-view Object Recognition by Detecting Changes in Point Clouds

Original language description

This paper proposes the use of change detection in a multi-view object recognition system in order to improve its flexibility and effectiveness in dynamic environments. Multi-view recognition approaches are essential to overcome problems related to clutter, occlusion or camera noise, but the existing systems usually assume a static environment. The presence of dynamic objects raises another issue - the inconsistencies introduced to the internal scene model. We show that by incorporating the change detection and correction of the inherent scene inconsistencies, we can reduce false positive detections by 70% in average for moving objects when tested on the publicly available TUW dataset. To reduce time required for verifying a large set of accumulated object pose hypotheses, we further integrate a clustering approach into the original multi-view object recognition system and show that this reduces computation time by approximately 16%.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/TE01020415" target="_blank" >TE01020415: V3C - Visual Computing Competence Center</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2016

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing

ISBN

978-1-5090-4239-5

ISSN

—

e-ISSN

—

Number of pages

7

Pages from-to

1-7

Publisher name

IEEE Computer Society

Place of publication

Atény

Event location

Athens

Event date

Dec 6, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000400488301086