The group conducts fundamental research in computer vision and machine learning; projects address issues of image understanding and visual object recognition in images and videos. The following site provides an overview over completed and current research projects.
Grants : Video Parsing for Abnormality Detection Spatio-/Temporal Graphical Models and Applications in Image Analysis (DFG)
Projects
Voting by Grouping Dependent Parts
Beyond Straight Lines - Object Detection Using Curvature
Contour-based Object Detection
Max-Margin Regularization for Chamfer Matching
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity
From Meaningful Contours to Discriminative Object Shape
Home
Grants : Video Parsing for Abnormality Detection Spatio-/Temporal Graphical Models and Applications in Image Analysis (DFG)
Projects
Voting by Grouping Dependent Parts
Beyond Straight Lines - Object Detection Using Curvature
Contour-based Object Detection
Max-Margin Regularization for Chamfer Matching
Visual Recognition using Embedded Feature Selection for Curvature Self-Similarity
From Meaningful Contours to Discriminative Object Shape
Home