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Carnegie Mellon Robotics Institute

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Takeo Kanade
U.A. and Helen Whitaker University Prof., RI/CS
Email:
Office: NSH 4119
Phone: (412) 268-3016
Fax: 412-268-5570
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Director, Quality of Life Technology (QoLT) Center

Face Alignment Demo -
submit your picture with faces and the program will locate faces and their parts, or view an example here, using a face map of President Obama.


[Example of result]

Virtualized RealityTM at SuperBowl XXXV!


Administrative Assistant: Suzette Ann Mongell
Affiliated Center(s):
 Vision and Autonomous Systems Center (VASC)
 Quality of Life Technology Center (QoLT)
 Medical Robotics Technology Center (MRTC)
Personal Homepage

Current Projects [Past Projects]
 
3D Head Motion Recovery in Real Time
A cylindrical model-based algorithm recovers the full motion (3D rotations and 3D translations) of the head in real time.
3D Image Overlay
X-ray vision has always been the dream of surgeons; Image Overlay is the next best thing.
3D Optical Reconstruction of Cell Shape
Reconstruction of 3D cell shapes using optical microscope
A Statistical Quantification of Human Brain Asymmetry
Constructing image index features to retrieve medically similar cases from a multimedia medical database.
Accurate Camera Calibration from Planar Patterns
A novel camera calibration method can increases not only an accuracy of intrinsic camera parameters but also an accuracy of stereo camera calibration by utilizing a single framework for square, circle, and ring planar calibration patterns.
Active Home/Personal Robotics
Creating a robot to help with tasks in the home.
Autonomous Helicopter
Develop a vision-guided robot helicopter
Cell Tracking
We are developing fully-automated computer vision-based cell tracking algorithms and a system that automatically determines the spatiotemporal history of dense populations of cells over extended period of time.
Cohn-Kanade AU-Coded Facial Expression Database
An AU-coded database of over 2000 video sequences of over 200 subjects displaying various facial expressions.
Computer Assisted Medical Instrument Navigation
We are developing a system to help clinicians to precisely navigate various catheters inside human hearts.
Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects
We present a practical approach to shape-from-silhouettes using a novel technique called coplanar shadowgram imaging that allows us to use dozens to even hundreds of views for visual hull reconstruction.
Deception Detection
Learning facial indicators of deception
DigitEyes
DigitEyes is a noninvasive, real-time tracking system for complex articulated figures like the human hand and body.
Dynamic Conformal Radiotherapy
EyeVision
Face Detection
We are developing computer methods to automatically locate human faces in photos and video.
Face Detection Databases
A collection of databases for training and testing face detectors.
Face Recognition Across Illumination
Recognizing people from faces: video and still iamges.
Face Video Hallucination
A learning-based approach to super-resolve human face videos.
Facial Expression Analysis
Automatic facial expression encoding, extraction and recognition, and expression intensity estimation for the applications of MPEG4 application: teleconferencing, human-computer interaction/interface.
Feature-based 3D Head Tracking
A feature-based head tracking algorithm can handle occlusions and fast motion of face.
Frontal Face Alignment
This face alignment method detects generic frontal faces with large appearance variations and 2D pose changes and identifies detailed facial structures in images.
GPU-accelerated Computer Vision
We are exploiting programmable graphics hardware to improve existing vision algorithms and enable novel approaches to robot perception.
Hand Tracking and 3-D Pose Estimation
A 2-D and 3-D model-based tracking method can track a human hand rapidly moving and deformed on complicated backgrounds and recover its 3-D pose parameters.
Human Kinematic Modeling and Motion Capture
We are developing a system for building 3D kinematic models of humans and then using the models to track the person in new video sequences.
Human Motion Transfer
We are developing a system for capturing the motion of one person and rendering a different person performing the same motion.
IMU-assisted Kanade-Lucas-Tomasi Feature Tracking
The KLT (Kanade-Lucas-Tomasi) method seeks to increase the robustness of feature tracking utilities by tracking a set of feature points in an image sequence. Our goal is to enhance the KLT method to increase the number of feature points and their tracking length under real-time constraint.
Informedia Digital Video Library
Informedia Digital Video Library - Informedia is pioneering new approaches for automated video and audio indexing, navigation, visualization, summarization search, and retrieval and embedding them in systems for use in education, health care, defense intelligence and understanding of human activity.
Integrated Vision and Sensing for Human Sensory Augmentation
The project integrates vision algorithms with sensing technologies for low-power, low-latency, compact adaptive vision systems to provide augmentation of human sensory systems and enabling sensory driven information delivery
Knee Surgery Simulation
Haptic interface for simulated knee surgery and interaction with volumetric data.
Magic Eye
Computer vision based augmented reality systems
Metaphor
Design for Software Evolution and Reuse
Modeling by Videotape
Factorization method of solving the structure-from-motion problem
Multi-People Tracking
Our multi-people tracking method can automatically initialize and terminate paths of people and follow multiple and changeable number of people on cluttered scenes over long time intervals.
Multi-view Car Detection and Registration
This method can detect cars with occlusions and varying viewpoints from a single still images by using multi-class boosting algorithm.
Object Recognition Using Statistical Modeling
Automobile and human face detection via statistical modeling.
Perception for Humanoid Robots
Real-time perception algorithms for autonomous humanoid navigation, manipulation and interaction.
Precision Freehand Sculpting
We are developing a handheld tool to accurately cut bone for joint replacement surgery.
Quality of Life Technology Center
QoLT is a unique partnership between Carnegie Mellon and the University of Pittsburgh that brings together a cross-disciplinary team of technologists, clinicians, industry partners, end users, and other stakeholders to create revolutionary technologies that will improve and sustain the quality of life for all people.
Real-time Face Detection
A face detection system has an accurate detection rate and real time performance by using an ensemble of weak classifiers.
Reconfigurable Vision Machine
Developing new hardware and software for high performance computer vision.
Soft Tissue Simulation for Plastic Surgery
Spatio-Temporal Facial Expression Segmentation
A two-step approach temporally segment facial gestures from video sequences. It can register the rigid and non-rigid motion of the face.
Temporal Shape-From-Silhouette
We are developing algorithms for the computation of 3D shape from multiple silhouette images captured across time.
Video Surveillance and Monitoring
cooperative multi-sensor military surveillance system
Video-rate Stereo Machine
Multiple images obtained by multiple cameras to produce different baselines in lengths and in directions
Virtualized Reality<SMALL><SUP>TM</SUP></SMALL>
Construct views of real events from nearly any viewpoint
Visual-Haptic Interface to Virtual Environment
What You can See is What You Feel (WYSIWYF) virtual environment
Z-Keying
A new image keying method which merges synthetic and real image in real time.