Dense Matchers for Dense Tracking

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00372540" target="_blank" >RIV/68407700:21230/24:00372540 - isvavai.cz</a>

Result on the web

<a href="https://cvww2024.sdrv.si/proceedings/" target="_blank" >https://cvww2024.sdrv.si/proceedings/</a>

DOI - Digital Object Identifier

—

Result language

angličtina

Original language name

Dense Matchers for Dense Tracking

Original language description

Optical flow is a useful input for various applications, including 3D reconstruction, pose estimation, tracking, and structure-from-motion. Despite its utility, the field of dense long-term tracking, especially over wide baselines, has not been extensively explored. This paper extends the concept of combining multiple optical flows over logarithmically spaced intervals as proposed by MFT. We demonstrate the compatibility of MFT with different optical flow networks, yielding results that surpass their individual performance. Moreover, we present a simple yet effective combination of these networks within the MFT framework. This approach proves to be competitive with more sophisticated, non-causal methods in terms of position prediction accuracy, highlighting the potential of MFT in enhancing long-term tracking applications.

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

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

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

Article name in the collection

Proceedings of the 27th Computer Vision Winter Workshop

ISBN

978-961-96564-0-2

ISSN

—

e-ISSN

—

Number of pages

11

Pages from-to

18-28

Publisher name

Slovenian Pattern Recognition Society

Place of publication

Ljubljana

Event location

Terme Olimia

Event date

Feb 14, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

—