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CVPR 2013 : 26th IEEE Conference on Computer Vision and Pattern Recognition


Conference Series : Computer Vision and Pattern Recognition
When Jun 23, 2013 - Jun 28, 2013
Where Portland, Oregon, USA
Submission Deadline Nov 15, 2012
Notification Due Feb 24, 2013
Categories    vision   graphics   robotics   learning

Call For Papers

Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of computer vision and pattern recognition (applied to images and video) including, but not limited to, the following areas:

Early and Biologically-inspired Vision

Color and Texture

Segmentation and Grouping

Computational Photography and Video

Motion and Tracking


Stereo and Structure from Motion

Image-Based Modeling

Illumination and Reflectance Modeling

Shape Representation and Matching

Object Detection, Recognition, and Categorization

Video Analysis and Event Recognition

Face and Gesture Analysis

Statistical Methods and Learning

Performance Evaluation

Medical Image Analysis

Image and Video Retrieval

Vision for Graphics

Vision for Robotics

Vision for Internet

Applications of Computer Vision

We suggest that authors submitting to CVPR for the first time look at recent CVPR proceedings so as to judge the appropriateness of the subject matter of their submissions.

Related Resources

CVPR 2014   27th IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
IWAI 2014   International Workshop on Artificial Intelligence
CVPR 2015   28th IEEE Conference on Computer Vision and Pattern Recognition
ICSR 2014   International Conference on Social Robotics
GCPR 2014   The 36th German Conference on Pattern Recognition
ICARCV 2014   13th IEEE International Conference on Control, Automation, Robotics and Vision
ICDM 2014   IEEE International Conference on Data Mining
ICMEM 2014   3rd International Conference on Mechanical Engineering and Mechatronics
ACCV 2014   Asian Conference on Computer Vision
IJFLS 2014   International Journal of Fuzzy Logic Systems