ACIVS 2012
Acivs 2012 was a conference focusing on techniques for building adaptive, intelligent, safe and secure imaging systems. It took place at Brno University of Technology, Czech Republic. Several video recordings are available only to conference participants after signing in.
Website: http://acivs.org/acivs2012/
Invited talks
Vision Realistic Rendering
Feature Extraction and Classification
Overlapping Local Phase Feature (OLPF) for Robust Face Recognition in Surveillance
Classifying Plant Leaves From Their Margins Using Dynamic Time Warping
Utilizing The Hungarian Algorithm For Improved Classification Of High-Dimension Probability Density Functions In An Image Recognition Problem
Geometry and Shape
The Mean Boundary Curve of Anatomical Objects
3D Parallel Thinning Algorithms Based on Isthmuses
Approximate Regularization for Structural Optical Flow Estimation
Active Visual-based Detection and Tracking of Moving Objects from Clustering and Classification methods
Recovering Projective Transformations between Binary Shapes
3D, Optics, and Light
Depth from Vergence and Active Calibration for Humanoid Robots
DSP and Hardware
Object Tracking and Identification
Object recognition using Radon transform based RST parameter estimation
Detection and Recognition
Hand Posture Classification by Means of a New Contour Signature
Real-time Dance Pattern Recognition Invariant to Anthropometric and Temporal Differences
Segmentation and Surface
Cross-Channel Co-Occurrence Matrices for Robust Characterization of Surface Disruptions in 2.5D Rail Image Analysis
Simultaneous Segmentation and Filtering via Reduced Graph Cuts
Project presentations
RECOMP - Reduced Certification Costs Using Trusted Multi-core Platforms (FP7-ARTEMIS)
SRS - Shadow Robotic System for Independent Living (FP7)
GLOCAL - Event-Based Retrieval of Networked Media (FP7)
Quality and Documents
Quality Assurance for Document Image Collections in Digital Preservation
Improving Image Acquisition : A Fish-Inspired Solution
Annotating Images with Suggestions - User Study of a Tagging System