[4eyes] Fwd: CFP: ACCV14 workshop on Big Data in 3D Computer Vision

[Steffen Gauglitz]

FYI

-------- Original Message --------
Subject: CFP: ACCV14 workshop on Big Data in 3D Computer Vision
Date: Wed, 21 May 2014 19:21:25 +0100
From: Bob Fisher <rbf at inf.ed.ac.uk>
To: sgauglitz at cs.ucsb.edu

Call for Papers
ACCV 2014 Workshop: Big Data in 3D Computer Vision
November 1, 2014 • Singapore
http://www.multimediauts.org/ACCV2014WSBigData3DCV
Contact: Jian.Zhang at uts.edu.au, mohammed.bennamoun at uwa.edu.au

The main goal of this workshop is to explore scientific research on Big
Data in 3D computer vision. There is an increasingly rich amount of 3D
visual data available from our daily life:

* Corporations including Google, Microsoft and Nokia have 3D data for
   major cities in their map services
* Thanks to the SfM technique, photos and videos taken by consumer
   smartphones amount to a dynamic influx of 3D content which covers our
   everyday life both globally and instantly.
* Inexpensive 3D sensors such as Kinect pave the way for capturing rich
   3D data from people’s entertainments.

This workshop focuses on large scale 3D data analysis algorithms, methods
and solutions. It is expected to demonstrate the state-of-the-arts in the
convergence of 3D sensor technology, 3D computer vision, 3D visualization
and 3D applications. This workshop will cover major aspects of big data
vision and will be the venue for papers to highlight the recent advanced
research from academic and industry labs through the connection of big
data in 3D computer vision.

This workshop aims to foster research efforts related, but not restricted,
to following topics:
* Object description, detection, and recognition on large scale point
cloud data
* 3D scene understanding, object-based representation and segmentation,
* Matching and registration across point cloud data of various sensing
* Navigation, localization, SLAM and semantic mapping
* 3D motion analysis methods
* Structure from motion and multi-view stereo techniques towards large
scale
   environments
* Benchmark 'Big' 3D datasets
* 3D tracking and reconstruction from live video
* Indexing, searching and alignment of large-scale 3D data
* Content-based 3D retrieval and recognition
* 3D mesh, texture, point, and volume-based representation, 3D scene
   browsing on mobile devices, 3D electronic-map
* 3D motion animation,
* Augmented reality and mixing of virtual and real worlds, augmented
reality
   in street view, web-based 3D map applications.

Authors are invited to submit a full paper according to the guidelines
available on the ACCV2014 conference website. Submitted papers will be
reviewed by the workshop program committee in a double blind manner. Only
electronic submissions will be accepted. In submitting a manuscript to this
workshop, the authors acknowledge that no paper substantially similar in
content has been submitted to another conference or workshop during the
review period. Accepted papers must be registered and presented; otherwise
they will not be included in the workshop proceedings. The proceedings
will be published by Springer in the Lecture Notes in Computer Science
(LNCS) series.

Preliminary Important Dates:
Full paper (6 pages) submission: Sept. 15, 2014 - 23:59 PDT (GMT-7)
Author Notification:             Sept. 29, 2014 - 23:59 PDT (GMT-7)
Camera-ready paper:              Oct 5, 2014 - 23:59 PDT (GMT-7)


-- 
The University of Edinburgh is a charitable body, registered in
Scotland, with registration number SC005336.