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DAFT & RGB-D Texture Feature Evaluation toolkit

These RGBD Datasets can be used to evaluate texture feature detectors & descriptors that use the depth information provided by a Kinect camera.

Parts of it were created for the publication [Distinctive Texture Features from Perspective-Invariant Keypoints] (implementation at ).
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            [abstract] => I started working as a research assistant at the Intelligent Autonomous Systems Group in December 2011 and I am mainly cooperating with Dejan Pangeric, Dipl.-Ing. I am mostly involved in robotics perception, however, I have very broad interests in robotics and machine learning fields. I am currently undertaking Master of Robotics, Cognition and Intelligence at Technical University of Munich.
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I'm a postdoctoral researcher supported from ERASMUS MUNDUS BEAM scholarship of European Commission. I got my Ph.D degree from the department of Mechanical and Aerospace Engineering of Seoul National University (advised by Prof. Frank C. Park) and worked as a postdoctoral researcher for Humanoid Robot Research Center (HUBO Lab) in 2011.
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Before I joined the Intelligent Autonomous Systems Group I studied Computer Science at TUM. I'm currently working on the import of knowledge from the world wide web into the knowledge base of our mobile robots. In particular, my current research focuses on understanding natural-language, in order to enable a robot to autonomously acquire new high-level skills by querying web pages such as eHow.com or wikiHow.com.
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            [abstract] => We are looking for the students to work on the following topics as within their B.Sc., M.Sc, Guided Research projects:

	*  In-hand object of daily use modelling (together with Slobodan Ilic)
	*  Robust and accurate object of daily use tracking for mobile manipulation ([decription], together with Sorin Grigorescu)
	*   Knowledge modeling for robot indoor mapping ([description], supervised by Ziyuan Liu)
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I obtained the Doctor in computer science from TUM in November 2011 for my thesis titled Knowledge Processing for Autonomous Robots. Previously, I studied Electrical Engineering and Information Technology at the RWTH Aachen, Germany, and Robotics and Embedded Systems at the ENSTA in Paris, France. I spent one year as an intern at the Accenture Technology Labs in …
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            [abstract] => Professors

	*  Prof. Dr. Bernd Radig
	*  Prof. Dr. Carsten Steger

Prof. Michael Beetz has moved to the University of Bremen in Summer 2012, and parts of the group will follow over the course of the next months. The website of the IAS group in Bremen can be found at .
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            [abstract] => Currently we have four robot platforms in our lab: PR2, TUM Rosie, iCub and Bender. The PR2 was provided by the Willow Garage Beta Program. TUM Rosie has been built around the KUKA-omnidirectional base and KUKA-lightweight LWR-4 arms. The iCub is a small-size humanoid robot being designed by the RobotCub Consortium, consisting of several European universities. B21 is the alumnus of robots in our robot-park.
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            [abstract] => Vorlesungen

	*  Technical Cognitive Systems (IN2222)
	*  Bildverstehen I: Methoden der industriellen Bildverarbeitung (IN2023)

Seminar

	*  Master-Seminar: Robot Learning (IN2107, IN8901, IN4611)
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	*  Bildverstehen I: Methoden der industriellen Bildverarbeitung (IN2023)
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    [creator] => Prof. Dr. Carsten Steger
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            [abstract] => Lectures

	*  Bildverstehen I: Methoden der industriellen Bildverarbeitung (IN2023)
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    [creator] => Moritz Tenorth
    [user] => tenorth
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            [tenorth] => Moritz Tenorth
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            [abstract] => Seminar

	*  Master-Seminar - Wissensrepräsentation in der künstlichen Intelligenz (IN2107, IN8901, IN4611)
	*  Master-Seminar - Mensch-Roboter Interaktion (IN2107, IN8901, IN4532)

Praktikum

	*  Master-Praktikum - Sensorgestützte intelligente Umgebungen (IN2106, IN8902, IN4053)
	*  Master-Praktikum - KI-basierte Robotersteuerung (IN2106, IN8902, IN4056)
	*  Master-Praktikum - Innovation@CoTeSys (IN2106, IN8902, IN4109)
        )

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            [sturmju] => Juergen Sturm
            [lohr] => Quirin Lohr
            [tenorth] => Moritz Tenorth
            [jain] => Dominik Jain
            [kirsch] => Dr. Alexandra Kirsch
            [weikersd] => David Tim Weikersdorfer
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            [abstract] => Large-scale integrative projects

	*  cotesys: Cognition for Technical Systems

Task-level planning and execution

	*  cram: Cognitive Robot Abstract Machine
	*  para: Planning for Adaptive Robot Assistance
	*  cogito: Plan-based control of robotic agents
        )

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            [tenorth] => Moritz Tenorth
            [jain] => Anand Dominik Jain
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    [title] => Software and data sets
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            [abstract] => Open-source software packages

	*  ROS stacks and packages: Contributions of the IAS Group to the Robot Operating System (ROS)
	*  The ProbCog Toolbox for Statistical Relational Learning and Reasoning: ProbCog designs and implements a software suite for statistical relational learning that is publicly available for download.
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    [creator] => Dejan Pangercic
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            [isikm] => Mehmet Can Isik
            [moesenle] => Lorenz Mösenlechner
            [hausman] => Karol Hausman
            [blodow] => Nico Blodow
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    [title] => Internal IAS Workshop on Knowrob, CRAM and Semantic Perception
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            [abstract] => NOTE: The content is subject to frequent changes, please check back regularly.

Purpose

The purpose of this workshop is to introduce some of the core technologies developed in the IAS group over the last years for knowledge-enabled service robotics to our freshmen, colleagues from Bremen and guests.
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    [creator] => Moritz Tenorth
    [user] => tenorth
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            [id] => events:knowledge-workshop-iros2011
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            [extra] => 
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    [title] => IROS 2011 Workshop: Knowledge Representation for Autonomous Robots
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            [abstract] => Over the past years, computers have made significant progress in mining knowledge from the web, aggregating information from different sources and using this knowledge to answer complex queries. Watson's recent victory over human jeopardy players impressively shows that very complex tasks in terms of knowledge acquisition, question answering, and natural language understanding can be solved nowadays.
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    [creator] => Dejan Pangercic
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    [title] => ICRA 2012 Workshop on Semantic Perception and Mapping for Knowledge-enabled Service Robotics
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ICRA 2012 WORKSHOP 

Semantic Perception and Mapping for Knowledge-enabled Service Robotics (with interactive session and demonstrations) 

Where: 

ICRA 2012, St. Paul, Minnesota, USA (Room #9, River Centre) 

When: 

May 18th, 2012

Website: 


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            [abstract] => Summer schools and tutorials

	*  CoTeSys-ROS Fall School on Cognition Enabled Mobile Manipulation (November 2010)
	*  Player Summer School on Cognitive Robotics (August 2007)

Workshops

	*  Internal IAS Workshop on KnowRob, CRAM and Perception  (June 2012)
	*  ICRA 2012: Workshop on Semantic Perception and Mapping for Knowledge-enabled Service Robotics (May 2012)
	*  IROS 2011: Workshop on Knowledge Representation for Autonomous Robots (October 2011)
	*  euRobotics 2011: RGB-D Workshop on 3D P…
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Persönlicher Status und Werkzeuge

Home Research Face Image Analysis

Face Image Analysis

As robots emerge from their classical domain - factories - to be included in every day life, they need to gain new abilities besides those needed in manufacturing. They need not only to support humans, but also be able to socialize with their users to enhance the interaction experience and allow for social bonding. Recent progress in the field of Computer Vision allows intuitive interaction via gesture or facial expressions between humans and technical systems. Recent research aims at enabling machines to utilize communication channels natural to human beings, such as gesture or facial expressions. Humans interpret emotion from video and audio information and heavily rely on this information during every-day communication. Therefore, knowledge about human behavior, intention, and emotion is necessary to construct convenient human-machine interaction mechanisms. The human face provides much of the information that is passed between humans in every-day communication. Although most of this information is passed on a subconscious level, we still rely on the interaction partner's facial expression to determine emotional state or attention to form a prediction of his or her reaction.

Project details

This project aims at determining facial expressions from camera images in real-time. Model-based image interpretation techniques have proven to be a successful method for extracting such high-level information from single images and image sequences. We rely on a model-based technique to determine the exact location of facial components such as eyes or eye brows in the image. Geometric models form an abstraction of real-world objects and contain knowledge about their properties, such as position, shape or texture. This representation of the image content facilitates and accelerates the subsequent interpretation task. In order to extract high-level information, model parameters have to be estimated that best describe the face within a given image. However, correctly estimated model parameters forms the basis of various more applications such as gaze detection or gender estimation.

Our demonstrator for facial expression recognition has been presented at several events with political audience and on TV. The face is detected and a 3D face model it fitted in real-time to extract the facial expression currently visible. We integrate the publicly available Candide-III face model and also rely on publicly available databases to train and evaluate classifiers for facial expression recognition. This contributes to the comparability of our approach with other research groups. Ekman and Friesen find six universal facial expressions that are expressed and interpreted independent from the cultural background, age or country of origin all over the world. The Facial Action Coding System~(FACS) precisely describes the muscle activity within a human face that appear during the display of facial expressions. The Candide-III face model integrates the FACS-system in its model parameters.

Video

Evidence suggests that feeling empathy for others is connected to the mirror neuron system and that emotional empathy, which is triggered by deriving the emotional state from facial expressions involves neural activity in the thalamus and cortical areas responsible of the face. Perception and display of facial expression form a closed loop in human-human communication, where the perception of the interaction partner's facial expression has influence on the display of the own facial expression. To research this also on the human-machine interface, we integrate our demonstrator in the Multi-Joint Action Scenario in the CoTeSys Central Robotics Lab. It is combined with the robot head EDDIE, provided by the Institute of Automatic Control Engineering, to form a closed-loop human-machine interaction scenario based on facial expression analysis and synthesis. In its current, preliminary state, the facial expression is merely mirrored, but future plans involve integrating a more complex emotional model on the robotic side.

Publications

Journal Articles and Book Chapters

Implicit Coordination with Shared Belief: A Heterogeneous Robot Soccer Team Case Study (Freek Stulp, Hans Utz, Michael Isik, Gerd Mayer), In Advanced Robotics, the International Journal of the Robotics Society of Japan, 2010. [bib]

Conference Papers

Real-Time Face and Gesture Analysis for Human-Robot Interaction (Frank Wallhoff, Tobias Rehrl, Christoph Mayer, Bernd Radig), In Real-Time Image and Video Processing 2010, volume , 2010. (invited paper) [bib]
Mirror my emotions! Combining facial expression analysis and synthesis on a robot (S. Sosnowski, C. Mayer, K. Kühnlenz, B. Radig), In The Thirty Sixth Annual Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB2010), volume , 2010. () [bib]
Towards robotic facial mimicry: system development and evaluation (C. Mayer, S. Sosnowski, K. Kühnlenz, B. Radig), In Proceedings of the 19th IEEE International Symposium on Robot and Human Interactive Communication, volume , 2010. () [bib]
A Distributed Many-Camera System for Multi-Person Tracking (C. Lenz, T. Röder, M. Eggers, S. Amin, T. Kisler, B. Radig, G. Panin, A. Knoll), In Proceedings of the First International Joint Conference on Ambient Intelligence (AmI 2010) (R. Wichert, B. de Ruyter, eds.), Springer Lecture Notes in Computer Science, 2010. [bib]

Other Publications

Multi Joint Action in CoTeSys --- Setup and Challenges (D. Br\vs\vci\'c, M. Eggers, F. Rohrmüller, O. Kourakos, S. Sosnowski, D. Althoff, M. Lawitzky, A. Mörtl, M. Rambow, V. Koropouli, J.R. Medina Hernández, X. Zang, W. Wang, D. Wollherr, K. Kühnlenz, C. Mayer, T. Kruse, A. Kirsch, J. Blume, A. Bannat, T. Rehrl, F. Wallhoff, T. Lorenz, P. Basili, C. Lenz, T. Röder, G. Panin, W. Maier, S. Hirche, M. Buss, M. Beetz, B. Radig, A. Schubö, S. Glasauer, A. Knoll, E. Steinbach), Technical report, CoTeSys Cluster of Excelence: Technische Universität München & Ludwig-Maximilians-Universität München, 2010. [bib]
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Last edited 01.08.2011 15:59 by tenorth