Cognitive Vision

1. Front Matter

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2. Face Recognition and Activity Interpretation

   1. Face Recognition with Biologically Motivated Boosted Features

      • Erez Berkovich, Hillel Pratt, Moshe Gur

      Pages 1-13

   2. A New Method for Synthetic Face Generation Using Spline Curves

      • Ali Borji

      Pages 14-23

   3. Epipolar Geometry for Humanoid Robotic Heads

      • Justin Hart, Brian Scassellati, Steven W. Zucker

      Pages 24-36

   4. Monitoring Activities of Daily Living (ADLs) of Elderly Based on 3D Key Human Postures

      • Nadia Zouba, Bernard Boulay, Francois Bremond, Monique Thonnat

      Pages 37-50

3. Attention, Search and Maps

   1. Remembering Pictures of Real-World Images Using Eye Fixation Sequences in Imagery and in Recognition

      • Geoffrey Underwood, Neil Mennie, Katherine Humphrey, Jean Underwood

      Pages 51-64

   2. Towards a Model of Information Seeking by Integrating Visual, Semantic and Memory Maps

      • Myriam Chanceaux, Anne Guérin-Dugué, Benoît Lemaire, Thierry Baccino

      Pages 65-78

   3. An Entropy-Based Approach to the Hierarchical Acquisition of Perception-Action Capabilities

      • David Windridge, Mikhail Shevchenko, Josef Kittler

      Pages 79-92

   4. The Role of Implicit Context Information in Guiding Visual-Spatial Attention

      • Andrea Schankin, Olaf Stursberg, Anna Schubö

      Pages 93-106

4. Scene Interpretation

   1. Probabilistic Pose Recovery Using Learned Hierarchical Object Models

      • Renaud Detry, Nicolas Pugeault, Justus Piater

      Pages 107-120

   2. Semantic Reasoning for Scene Interpretation

      • Lars B. W. Jensen, Emre Baseski, Sinan Kalkan, Nicolas Pugeault, Florentin Wörgötter, Norbert Krüger

      Pages 121-134

   3. Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace

      • Andreas Fidjeland, Murray Shanahan, Alexandros Bouganis

      Pages 135-148

5. Back Matter

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Weareverypleasedtopresenttheproceedingsofthe4thInternationalCognitive Vision Workshop,held as part of the 6th InternationalConference on Computer Vision Systems on Santorini,Greeceduring May12–15,2008.The aim of ICVW 2008 was to document the progress of the relatively young ?eld of cognitive computer vision, bringing together researchers working and interested in this ?eld and giving them a platform to discuss the results of the di?erent European cognitive vision projects as well as international projects in this area. Original research papers were solicited in all aspects of cognitive vision, targeting the following areas in particular: – Memory: The coupling between visual perception, tasks, knowledge and the visualsystemrequiresmemory.Issuesthatareofspecialimportanceforin- grating memory into vision systems include: how to manage representations with limited resources;modelfor attention;integrationofinformationacross representations and time. – Learning and Adaptation: A system whose goal is that of interacting with the real world must be capable of learning from experience and adapting to unexpected changes. Also, there is a need for integration of multiple - sual features to enable generation of stable hypotheses, and for methods for combination of cues in the presence of uncertainty. – Categorization: Research has in particular focused on recall of speci?c - ject instances, events and actions. Whereas recently some progress has been achieved in systems that allow limited recognition of object classes, events and scenes across visual appearance, new methods are needed to enable abstractions and e?ective categorization across variations in color, surface markings, geometry, temporal scenes, context and tasks.

• adaption
• cognition
• geometry
• humanoid robot
• learning
• memory
• perception
• recognition
• robot
• surface
• trajectory
• uncertainty
• vision

• IDIAP Research Institute, Centre Du Parc, Martigny, Switzerland

  Barbara Caputo

• Automation and Control Institute, Vienna University of Technology, Vienna, Austria

  Markus Vincze

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