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| − | {{Event
| + | What's it take to bcemoe a sublime expounder of prose like yourself? |
| − | | Acronym = VISAPP 2008
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| − | | Title = International Conference on Computer Vision Theory and Applications
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| − | | Type = Conference
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| − | | Series =
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| − | | Field = Computer graphics
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| − | | Homepage = www.visapp.org
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| − | | Start date = Jan 22, 2008
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| − | | End date = Jan 25, 2008
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| − | | City= Funchal
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| − | | State = Madeira
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| − | | Country = Portugal
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| − | | Abstract deadline =
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| − | | Submission deadline = Sep 12, 2007
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| − | | Notification =
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| − | | Camera ready =
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| − | <pre>
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| − | SCOPE
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| − | The Third International Conference on Computer Vision Theory and Applications (VISAPP) aims at becoming a major point of contact between research scientists, engineers and practitioners on the area of computer vision applications systems. Four simultaneous tracks will be held, covering all different aspects related to computer vision, from Image Formation to Image Understanding including Motion Analysis and Stereo Vision.
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| − | Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged.
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| − | Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of VISAPP. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions.
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| − | Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in lecturing a tutorial are invited to contact the conference secretariat.
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| − | CONFERENCE AREAS
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| − | Each of these topic areas is expanded below. Papers should address one or more of the listed topics, although authors should not feel limited by them. Unlisted but related topics are also allowed.
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| − | 1. Image Formation and Processing
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| − | 2. Image Analysis
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| − | 3. Image Understanding
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| − | 4. Motion, Tracking and Stereo Vision
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| − | AREA 1: IMAGE FORMATION AND PROCESSING
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| − | | |
| − | - Computational Geometry
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| − | - Multi-view Geometry
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| − | - Illumination and Reflectance Modeling
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| − | - Image Formation, Acquisition Devices and Sensors
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| − | - Multimodal and Multisensor Models of Image Formation
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| − | - Image Quality
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| − | - Image Filtering
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| − | - Spatial Color Indexing
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| − | - Enhancement and Restoration
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| − | - Mathematical Morphology
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| − | - Implementation of Image and Video Processing Systems
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| − | | |
| − | AREA 2: IMAGE ANALYSIS
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| − | - Early Vision and Image Representation
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| − | - Surface Geometry and Shape
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| − | - Feature Extraction
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| − | - Segmentation and Grouping
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| − | - Time-Frequency Analysis
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| − | - Wavelet Analysis
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| − | - Statistical Approach
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| − | - Structural and Syntactic Approach
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| − | - Fractal and Chaos Theory in Image Analysis
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| − | - Image Registration
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| − | - Video Analysis
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| − | - Medical Image Analysis
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| − | | |
| − | AREA 3: IMAGE UNDERSTANDING
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| − | | |
| − | - Recognition and Indexing
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| − | - Cognitive & Biologically Inspired Vision
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| − | - Cognitive Models for Interpretation, Integration and Control
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| − | - Neural Networks
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| − | - Object, Event and Scene Recognition, Retrieval and Indexing
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| − | - Human Activity Recognition
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| − | - Face and Gesture Recognition
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| − | - Dynamics and Learning for Gesture Interpretation
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| − | - Visual Learning
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| − | - Pattern Recognition in Image Understanding
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| − | - Optical Color Pattern Recognition
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| − | - Data Mining in Pattern Recognition
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| − | - Model Acquisition and Validation
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| − | - 2D and 3D Scene Understanding
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| − | - Localization and Recognition of 3D Object Features
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| − | - Recognizing 3-D Object Shapes from Range Data
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| − | AREA 4: MOTION, TRACKING AND STEREO VISION
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| − | | |
| − | - Real-time Vision
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| − | - Active and Robot Vision
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| − | - Visually Guided Robotics
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| − | - Visual Navigation
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| − | - Motion and Tracking
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| − | - Stereo Vision and Structure from Motion
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| − | - Matching Correspondence and Flow
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| − | - Model-based Object tracking in Image Sequences
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| − | - Tracking of People and Surveillance
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| − | - Segment Cluster Tracking
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| − | - Retrieval of 3D Objects from Video Sequences
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| − | - Detecting 3D Objects Using Patterns of Motion and Appearance
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| − | - Image-based Modeling and 3D Reconstruction
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| − | IMPORTANT DATES
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| − | Full paper submission: September 12, 2007
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| − | Acceptance notification: October 30, 2007
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| − | Final paper submission and registration: November 12, 2007
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| − | </pre>This CfP was obtained from [http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=1075&copyownerid=2 WikiCFP]
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