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- Visual Orientation and Motion Control of MAKRO Adaptation to the Sewer Environment
- How robust is the SVM wound segmentation? Marina Kolesnik1
- AISB'03 Cognition in Machines & Animals, Aberystwyth, UK, April 7-11, 2003 Iterative Orientation Tuning of Simple Cells in V1: A Comparative Study of
- Header for SPIE use View-based Method for Relative Orientation in the Pipe1
- Using Angles for Internal Camera Calibration and Calibration Update Marina Kolesnik
- Lecture Notes in Computer Science 1 Iterative Tuning of Simple Cells for Contrast Invariant
- Algorithmic Solution for Autonomous Vision-Based O -Road Navigation
- Lecture Notes in Computer Science 1 Calibration Update Technique for a Zoom Lens
- Neural object recognition by hierarchical learning and extraction of essential shapes
- Switching Hidden Markov Models for learning of motion patterns in videos
- HIERARCHICAL NEURAL LEARNING FOR OBJECT RECOGNITION Daniel Oberhoff and Marina Kolesnik
- Neural Network Architecture for Modeling the Joint Visual Perception of Orientation, Motion,
- Lecture Notes in Computer Science 1 Multi Dimensional Color Histograms for Segmentation of
- Lecture Notes in Computer Science 1 Iterative Orientation Tuning in V1: a Simple Cell Circuit
- Visual orientation in the sewer adaptation to the environment Marina Kolesnik
- ACCV2002: The 5th Asian Conference on Computer Vision, 23--25 January 2002, Melbourne, Australia. Direct Recovery of the Camera Internal Parameters Using Known Angles
- 3-D Interpretation of Sewer Circular Structures Marina Kolesnik,
- Innovative Konzepte zur visuellen Navigation und Bildverarbeitung. Zusammenfassung.
- Header for SPIE use Segmentation of Wounds in the Combined Color-Texture Feature
- Online Distance Recovery for a Sewer Inspection Robot Marina Kolesnik
- Virtual Odometry From Visual Flow Markus Lappea,b, Harald Frenza,b, Thomas Buhrmannb, Marina Kolesnikc
- Lecture Notes in Computer Science 1 On Vision-Based Orientation Method of a Robot Head in a
- ALGORITHMIC SOLUTION AND SIMULATION RESULTS FOR VISION-BASED AUTONOMOUS MODE OF A PLANETARY
- Lecture Notes in Computer Science 1 Detecting, Tracking and Interpretation of a Pointing