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Takeo Kanade
U.A. and Helen Whitaker University Prof., RI/CS
Email:
Office: NSH
Phone: (412) 268-3016
Fax: 412-268-5570
  Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
Administrative Assistant: Yukiko Kano
Affiliated Center(s):
 Vision and Autonomous Systems Center (VASC)
 Quality of Life Technology Center (QoLT)
 Medical Robotics Technology Center (MRTC)
Personal Homepage

Past Projects [Current Projects]
 
2D->3D Face Model Construction
We develop a linear algorithm that uniquely recovers the 3D non-rigid shapes and poses of a human face from a 2D monocular video.
3D Video Reconstruction of Skeletal Anatomy
This project aims to reconstruct from video sequences the 3D shape of skeleton of mouse fetuses (for pharmaceutical research) stored inside vials with glycerol.
ALVINN-On-A-Chip
The ALVINN-on-a-chip project is developing an intelligent VLSI imaging sensor for road following
Ambler
We are developing the Ambler, a six-legged walking robot that addresses the challenges of exploring rugged terrains, acquiring samples, and avoiding dangerous situations.
Autonomous Land Vehicle In a Neural Network (ALVINN)
Neural network navigation
Camera Assisted Meeting Event Observer (CAMEO)
We are developing the Camera Assisted Meeting Event Observer (CAMEO) - a sensory system designed to provide an electronic agent with physical awareness of the real world.
Car Tracking
Algorithms for tracking cars and generating "bird's eye views" of the surrounding road scene.
Component Analysis for Data Analysis
Component analysis (CA) is a set of techniques to decompose a signal (e.g. audio, video) into interesting components useful for classification, clustering, modeling or visualization. This project extends traditional CA techniques and unifies them, providing a cleaner theoretical framework for its analysis.
Cooperative Stereo Vision
Development of stereo vision algorithms and supporting software.
Face and Facial Feature Tracking
Rigid Tracking of Faces and Non-Rigid Tracking of Facial Features
Face Databases
Miscellaneous face databases collected at CMU.
Face Model Building and Fitting
Techniques for building and fitting 2D and 3D models of human faces and heads.
Face Recognition
Recognizing people from images and videos.
Factorization Method
We have developed a factorization method to robustly decompose an image stream into object shape and camera motion.
Fast VLSI Range-Image Sensor
We have built a high-performance VLSI sensor which uses a "cell-parallel" light-stripe algorithm to increase range-image frame rates by two orders of magnitude
Gaze Estimation
Algorithms for estimating where someone is looking
Hallucinating Faces
A super-resolution algorithm with a strong face-specifc prior.
High Performance Computing for Robot-Assisted Surgery (Hippocrates)
High Performance Computing for Robot-Assisted Surgery
Humanoid Vision
We are adding visual recognition and navigation to Honda's humanoid robots
Image Enhancement for Faces
Video enhancement techniques, specifically tailored for human faces.
Knowledge-Guided Deformable Registration
Matching corresponding anatomical structures across individuals, detecting possible pathologies.
Light-fields
A variety of uses of light-fields in computer vision.
Medical Image Registration
NREC designed and implemented a medical image registration system to accurately estimate a patient’s position for therapy.
Neural Network-Based Face Detection
A neural network-based face detection system
Non-Invasive Optical Imaging in vivo for Early Detection and Advanced Diagnosis of Cancer
Photometric Limits on Computer Vision
An investigation into the fundamental limits imposed on computer vision algorithms by imperfect or incomplete photometric information.
Prediction & Planning
This project analyses the safety and interaction of moving objects in complex road scenes.
Scene Flow
Methods of computing dense, non-rigid motion of 3D scenes.
Self-Mobile Space Manipulator ((SM)2)
A simple, independently mobile, modular, low mass, low cost robot for space station EVA.
Setting Low-Level Vision Parameters
Techniques for feeding back information from high-level vision modules to low-level modules to improve the performance of the overall system.
Spatio-Temporal View Interpolation (STVI)
An image-based rendering algorithm for view interpolation across both space and time.
Super-Resolution Optical Flow
A super-resolution algorithm for complex non-rigid scenes.
Textureless Layers
Techniques for the 3D reconstruction of scenes consisting of constant intensity piecewise planar regions (layers).
Ultrasonic Bone Imaging