MM-INTEREST Archives

ACM SIGMM Interest List

MM-INTEREST@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
Valerie Gouet <[log in to unmask]>
Reply To:
Valerie Gouet <[log in to unmask]>
Date:
Fri, 21 Oct 2022 10:03:13 +0200
Content-Type:
multipart/alternative
Parts/Attachments:
text/plain (4000 bytes) , text/html (36 kB)
[Apologies if you receive multiple copies of this CfP] 

*** Call for Papers *** 
JURSE 2023: JOINT URBAN REMOTE SENSING EVENT 
Special session on Point cloud based place recognition 
17-19 May 2023 - Heraklion Crete, Greece 

Special session: [ http://www.jurse2023.org/special-sessions/point-cloud-based-place-recognition.html | http://www.jurse2023.org/special-sessions/point-cloud-based-place-recognition.html ] 
Conference: [ http://www.jurse2023.org/ | http://www.jurse2023.org/ ] 

*** Important dates 

- Paper submission: 10 November 2022 
- Author acceptance notification: 20 December 2022 
- Camera-Ready: 15 February 2023 

*** Aims and scope 

The Joint Urban Remote Sensing Event (JURSE) is an international forum for researchers, practitioners and students who present, share, and discuss their latest findings and results. It is committed to introduce innovative methodologies and technological resources recently employed to investigate the manifold aspects of the urban environment through orbital and airborne remote sensing data. 

In this edition, we propose the special session "Point cloud based place recognition", dedicated to the last results on the management, analysis and exploitation of point clouds for the problem of place recognition. As point clouds become increasingly used in applications thanks to low cost LiDAR sensors, the availability of 3D photogrammetric sites or the development of public or private digitization surveys, point cloud based retrieval becomes more and more studied. Currently, one of the most frequent use case is the loop closure step during point cloud based structure from motion, but it is clear that the advent of such data begins to make popular the general problem of place recognition from point clouds, especially because these geometric data may provide representations more robust to scene variations than images. Since PointNetVLAD, several articles have been published in top ranked conferences on this topic, and the increasing popularity of the problem can be addressed from various research angles in 3D and 2D which are welcome in this special session, including: model efficiency, indexing and retrieval, multi-modality 2D/3D, semantic segmentation, registration, reconstruction, scaling, etc. 

*** Submission guidelines 

Submission portal and info: [ http://www.jurse2023.org/call-for-papers.html | http://www.jurse2023.org/call-for-papers.html ] 

Authors are invited to contribute by submitting a full paper in English of no more than 4 pages double-column, including illustrations, results and references. The accepted papers will be included in the JURSE 2023 Proceedings published in the IEEE Xplore Digital Library. When submitting, you will have the choice among the JURSE 2023 general topics and special sessions proposed, the final allocation of papers within special sessions will depend on the global list of accepted papers. 

*** Organizers 

Laurent Caraffa (LaSTIG Lab / IGN - Gustave Eiffel University, France) 
Valerie Gouet-Brunet (LaSTIG Lab / IGN - Gustave Eiffel University, France) 

Looking forward to your submission! 
The special session organizers 


-- 
Valerie Gouet-Brunet 
Senior researcher / DR1 Ministère de la Transition Ecologique 
LASTIG Lab. / Univ. Gustave Eiffel / IGN (French mapping agency) 
https://www.umr-lastig.fr/vgouet/ 

############################

Unsubscribe:

[log in to unmask]

If you don't already have a password for the LISTSERV.ACM.ORG server, we recommend
that you create one now. A LISTSERV password is linked to your email
address and can be used to access the web interface and all the lists to
which you are subscribed on the LISTSERV.ACM.ORG server.

To create a password, visit:

https://LISTSERV.ACM.ORG/SCRIPTS/WA-ACMLPX.CGI?GETPW1

Once you have created a password, you can log in and view or change your
subscription settings at:

https://LISTSERV.ACM.ORG/SCRIPTS/WA-ACMLPX.CGI?SUBED1=MM-INTEREST


ATOM RSS1 RSS2