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Current VASC 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.
• A Computational Model for Repeated Pattern Perception using Crystallographic Groups - We are developing a computational model for repeated pattern perception that is able to automatically classify a given pattern into one of the 7 frieze groups, one of the 17 wallpaper groups, or one of the 230 space groups.
• A Statistical Quantification of Human Brain Asymmetry - Constructing image index features to retrieve medically similar cases from a multimedia medical database.
• AAM Fitting Algorithms - Many varieties of algorithms for fitting Cootes and Taylor's "Active Appearance Models" are developed.
• AAMs with Occlusion - We are developing algorithms to construct AAMs from occluded training images and to efficiently fit AAMs to faces containing occlusion.
• 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.
• Advanced Sensor Based Defect Management at Construction Sites - This research project builds on, combines and extends the advances in generating 3D environments using laser scanners.
• Agent Based Design - Novel agent-based approach for the design of modular robot manipulators
• Amaranth - Real-Time System for Adaptive Optimization of End-to-End Quality of Service
• Amelia - An improved Xavier
• Anthropocentric Robotics - The goal of this project is to improve human-robot interaction by using anthropological resesarch methods to study how people think about robots.
• Autonomous Helicopter - Develop a vision-guided robot helicopter
• BORG - Framework for the development of distributed, secure, reliable, robust and scalable systems
• BeatBots - We are developing robots that can participate in coordinated rhythmic social interactions with people.
• Bow Leg Hopper - A novel, single-leg, dynamically stabilized planar robot that efficiently traverses rugged terrains under computer control.
• BowGo - We have developed BOWGO (patent pending) - a new kind of pogo stick that bounces higher, farther and more efficiently than conventional devices.
• CTA Robotics - This project adresses the problems of scene interpretation and path planning for mobile robot navigation in natural environment.
• Collaborative Agents - Cooperative robotics
• 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.
• Composable Simulation - Software environment which facilitates creating simulations of mechatronic systems
• 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.
• Cyberinfrastructure for Human-Robot Interaction Research - We seek to provide the field of Human-Robot Interaction (HRI) with collaborative mechanisms and methods for evaluation and exploratory analysis.
• Deception Detection - Learning facial indicators of deception
• Depression Assessment - This project aims to compute quantitative behavioral measures related to depression severity from facial expression, body gestures, and vocal prosody in clinical interviews.
• Dexterous Haptic Interface for Interaction with Remote/Virtual Environments - Convey finger touch and force information to a human operator
• Distributed Design System - CODES - Providing people, tools, and information for integrated robotics design
• Educational Robotics - We are developing both physical robots and curriculum that will make educational robotics viable at the middle school and high school levels.
• Evaluation of MSP Extraction Algorithms - The aim of this project is to evaluate different state-of-art algorithms for automatic extraction of the mid-sagital plane in brain images.
• Event Detection in Videos - Our event detection method can detect a wide range of actions in video by correlating spatio-temporal shapes to over-segmented videos without background subtraction.
• 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 - Recognizing people from images and videos.
• Face Recognition Across Illumination - Recognizing people from faces: video and still iamges.
• Face Recognition Across Pose - Recognizing people from different poses.
• Face Video Hallucination - A learning-based approach to super-resolve human face videos.
• Facial Asymmetry as a Biometric - We are investigating the effect of facial asymmetry measurement statistics as a biometric under expression variations.
• 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.
• Facial Feature Detection - Detecting facial features in images.
• Feature-based 3D Head Tracking - A feature-based head tracking algorithm can handle occlusions and fast motion of face.
• Fingersight^TM - We are developing videotactile fingertip sensors which will enable people to interact with the visible world via their fingertips.
• Forecasting the Anterior Cruciate Ligament Rupture Patterns - Use of machine learning techniques to predict the injury pattern of the Anterior Cruciate Ligament (ACL) using non-invasive methods.
• 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.
• Generic Active Appearance Models - We are pursuing techniques for non-rigid face alignment based on Constrained Local Models (CLMs) that exhibit superior generic performance over conventional AAMs.
• Global Connection Project - The Global Connection Project develops software tools and technologies to increase the power of images to connect, inform, and inspire people to become engaged and responsible global citizens.
• Grace - The Grace project is a collaboration among several schools and research labs to design a robot capable of fully performing the AAAI Grand Challenge.
• Gyrover - A Single-Wheel, Gyroscopically stabilized Robot
• Hallucinating Faces - A super-resolution algorithm with a strong face-specifc prior.
• 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.
• Hot Flash Detection - Machine learning algorithms to detect hot flashes in women using physiological measures.
• 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.
• Image Enhancement for Faces - Video enhancement techniques, specifically tailored for human faces.
• Indoor People Localization - Tracking multiple people in indoor environments with the connectivity of Bluetooth devices.
• 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.
• Intelligent Assembly Modelling and Simulation - Facilitating assemblability checking in a virtual, simulated environment
• Intelligent Diabetes Assistant - We are working to create an intelligent assistant to help patients and clinicians work together to manage diabetes at a personal and social level. This project uses machine learning to predict the effect that patient specific behaviors have on blood glucose.
• Millibots - Heterogeneous group of small autonomous robots with modular payloads and sensing platforms
• 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.
• Multimodal Diaries - Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring)
• Neural Network-Based Face Detection - A neural network-based face detection system
• Object Recognition Using Statistical Modeling - Automobile and human face detection via statistical modeling.
• PIE Database - A database of 41,368 images of 68 people with Pose, Illumination, and Expression variation.
• Palm Pilot Robot Kit - The Palm Pilot Robot Kit is a design for an easy-to-build, fully autonomous robot controlled by a Palm handheld computer.
• Perception for Humanoid Robots - Real-time perception algorithms for autonomous humanoid navigation, manipulation and interaction.
• Predicting Risk of Alzheimer's Disease From Shape Features - The goal of this project is to use computer vision techniques to help predict risk of Alzheimer's Disease in elderly patients.
• Real-time Face Detection - A face detection system has an accurate detection rate and real time performance by using an ensemble of weak classifiers.
• Reflectance Perception - We have developed Reflectance Perception - an image processing software that intelligently compensates for illumination problems in digital pictures.
• Reflective Agents with Distributed Adaptive Reasoning - The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function without requiring expert tuning or specially trained users.
• Reliability of Mobile Robot Teams - We are developing analytical tools which enable the prediction of robotic mission failure given mission specifications and robot component reliability data.
• Roboceptionist - In collaboration with the Drama Department, we are developing technology for long-term social interaction.
• Robot Boat Project - We are developing a small solar-powered robot for long-term offshore science experiments. Applications include meteorology, oceanography, marine biology and other marine sciences.
• Skinnerbots - Trainable robots using operant conditioning.
• Social Robots - We are developing robots with personality.
• Sonic Flashlight^TM - We are developing a method of medical visualization that merges real time ultrasound images with direct human vision.
• Spatial Layout - Locate a set of objects in a housing unit
• 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.
• Super-Resolution Optical Flow - A super-resolution algorithm for complex non-rigid scenes.
• TRESTLE: Autonomous Assembly by Teams of Coordinated Robots - The TRESTLE project is developing the architectural framework necessary to coordinate robots performing complex assembly projects.
• Telepresence Robot Kit - To design, create, and disseminate robotics curricula and technologies that motivate young women and men to actively explore science and technology.
• Temporal Shape-From-Silhouette - We are developing algorithms for the computation of 3D shape from multiple silhouette images captured across time.
• Texture Replacement in Real Images - We are developing methods to replace some specified texture patterns in an image while preserving lighting effects, shadows and occlusions.
• Texture Synthesis on Near-regular Patterns - We are developing near regular texture synthesis algorithms for improved natural appearances.
• The CMUcam Vision Sensor - We have developed CMUcam - a new low-cost, low-power sensor for mobile robots.
• The Personal Rover Project - We have developed the Personal Rover - a 18"x12"x24" highly autonomous, programmable robot.
• Toy Robots Initiative - The Toy Robots Initiative aims to commercialize robotics technologies in the educational, toy and entertainment fields.
• Vikia - We are developing a robot who has personality and with whom it is easy to communicate.