BigData3DCV 2013 - Big Data in 3D Computer Vision Workshop

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.
Smartphones have good built-in cameras for pictures and videos
Corporations including Google, Microsoft and Nokia have 3D data for major cities in their map services
Consumers usually upload multiple images or videos from the same location
Inexpensive 3D sensors such as Kinect are readily available to capture the rich 3D data during people’s entertainment or even in video conferencing.
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 (two-column format, 6-8 pages) according to the guidelines available on the conference website at http://www.iccv2013.org. 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 IEEE Xplore Library.