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VOCVLC/CVPR 2017 : International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues

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Link: https://www.eecis.udel.edu/wiki/vims/index.php/Main/OdometryandComputerVision
 
When Jul 21, 2017 - Jul 21, 2017
Where Hawaii
Submission Deadline Apr 20, 2017
Notification Due May 10, 2017
Final Version Due May 17, 2017
Categories    computer vision   machine learning   artificial intelligence   robotics
 

Call For Papers

With the advent of autonomous driving and augmented reality, the applications of visual odometry are significantly growing. The development of smart-phones and cameras is also making the visual odometry more accessible to common users in daily life. With the increasing efforts devoted to accurately computing the position information, emerging applications based on location context, such as scene understanding, city navigation and tourist recommendation, have gained significant growth. The location information can bring a rich context to facilitate a large number of challenging problems, such as landmark and traffic sign recognition under various weather and light conditions, and computer vision applications on entertainment based on location information, such as Pokemon. The motivation for the proposed workshop is soliciting scalable algorithms and systems for addressing the ever increasing demand of accurate and real-time visual odometry, as well as the methods and applications based on the location clues. This workshop invites papers in the areas including advances in visual odometry and its applications related to computer vision in topics listed below, but not limited:

Image-based localization and navigation
Monocular and stereo visual odometry
Visual odometry applications on autonomous driving
Augmented reality based on visual odometry
Robust pose estimation solutions
Multi-model visual sensor data fusion
Real-time object tracking
3D scene modeling
Application of deep learning on visual odometry
Large-scale SLAM
Map generation
Scene understanding and semantic labeling
Rendering and visualization of large-scale models
Feature representation, indexing, storage and analysis
Feature extraction and matching
Object detection and recognition based on location context
Landmark mining and tourism recommendation
Video surveillance
Benchmark datasets collection


Organizers/Program chairs:

Guoyu Lu, Ford Research and Advanced Engineering
Yan Yan, University of Michigan
Friedrich Fraundorfer, Graz University of Technology
Nicu Sebe, University of Trento
Chandra Kambhamettu, University of Delaware

Important dates:

Paper Submission deadline: 20th of April
Supplementary materials submission deadline: 20th of April
Decision release deadline: 10th of May
Camera ready submission deadline: 17th of May

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