9th International Conference on Computational Vision and Robotics (ICCVR-2019)

(Date June 15-16, 2019 )Bhubaneswar

Organized by: I.I.M.T., Bhubaneswar, Odisha, India

Call For Papers -ICCVR

The scope of International Conference on Computational Vision and Robotics (ICCVR) has been kept wide and following are the topics covered (But not limited to):

Robotics
Cognition
Early vision and vision systems
Theory, data structures and representations
Intelligent Sensors and Actuators
Pattern recognition
Face recognition
Computational Geometry
Signal or image processing
Diagrammatic knowledge representation and reasoning
Architecture and languages, Shape, range and motion analysis
Feature selection
Dimension reduction
Pattern classification and recognition
Parallel computer vision
Interactive computational models
Learning classifiers
Biological vision
Alternative eyes
Computational intelligence in Vision
3D vision and perception
Monocular and stereo vision
Image models and transforms
Modeling of human visual perception
AI application in computer vision
Artificial neural networks
Fuzzy logic and fuzzy systems
Evolutionary algorithms
Rough sets and granular computing
Medical imaging
Innovative uses of various graphic and vision devices and systems
Scene analysis,modeling,and understanding
Image synthesis,including three-dimensional imaging and solid modeling
Computer-aided graphic arts and animation
Machine vision
Mathematical approaches to image processing,analysis and synthesis, Visualization
Computer vision (including machine vision cognitive vision and robot vision)
Submission Guidelines
  • The submissions may be of any form out of the following:
  • New algorithms with empirical, theoretical, psychological, or biological justification.
  • Experimental and/or theoretical studies yielding new insight into the design and behavior of learning in intelligent systems.
  • Applications of existing techniques that shed light on the strengths and weaknesses of the methods.
  • New learning tasks (e.g., in the context of new applications) and of methods for assessing performance on those tasks.
  • Development of new analytical frameworks that advance theoretical studies of practical learning methods.
  • Computational models of data from natural learning systems at the behavioral or neural level; or extremely well-written surveys of existing work.
Sponsored by
IIMT, BHUBANESWAR

IIMT, Bhubaneswar (INDIA)

IRNET

IRNet (INDIA)

Contact Us

Mrs. Sroojani Mohanty,
Asst. Professor
Interscience Institute of Management and Technology,
Bhubaneswar, India

Email to: coordinator.conference@iimt.ac.in
Mobile - 7381067751