Carnegie Mellon University
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       Inactive Projects
Vision and Autonomous Systems Center (VASC)
The Robotics Institute
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh PA 15213-3890
Current Projects [Past Projects]
Automated Reverse Engineering of Buildings
The goal of this project is to use data from 3D sensors to automatically reconstruct compact, accurate, and semantically rich models of building interiors.
CTA Robotics
This project adresses the problems of scene interpretation and path planning for mobile robot navigation in natural environment.
Cohn-Kanade AU-Coded Facial Expression Database
An AU-coded database of over 2000 video sequences of over 200 subjects displaying various facial expressions.
Context-based Recognition of Building Components
In this project, we are investigating ways to leverage spatial context for the recognition of core building components, such as walls, floors, ceilings, doors, and doorways for the purpose of modeling interiors using 3D sensor data.
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.
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.
Detailed Wall Modeling in Cluttered Environments
The goal of this project is to develop methods to accurately model wall surfaces even when they are partially occluded and contain numerous openings, such as windows and doorways.
E57 Standard for 3D Imaging System Data Exchange
The goal of this project is to develop a vendor-neutral data exchange format for data produced by 3D imaging systems, such as laser scanners.
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.
Face Recognition
Recognizing people from images and videos.
Face Recognition Across Pose
Recognizing people from different poses.
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 Selection
Feature selection in component analysis.
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.
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.
Hot Flash Detection
Machine learning algorithms to detect hot flashes in women using physiological measures.
IMU-Assisted KLT Feature Tracker
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.
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.
Learning Optimal Representations
Learning optimal representations for classification, image alignment, visualization and clustering.
Low Dimensional Embeddings
Finding low dimensional embeddings of signals optimal for modeling, classification, visualization and clustering.
Multimodal Diaries
Summarization of daily activity from multimodal data (audio, video, body sensors and computer monitoring)
Quality Assessment of As-built Building Information Models using Deviation Analysis
The goal of this project is to develop a method for conducting quality assessment (QA) of as-built building information models (BIMs) that utilizes patterns in the differences between the data within and between steps in the as-built BIM creation process to identify potential errors.
RERC on Accessible Public Transportation
We are researching and developing methods to empower consumers and service providers in the design and evaluation of accessible transportation equipment, information services, and physical environments.
In collaboration with the Drama Department, we are developing technology for long-term social interaction.
The Snackbot is a mobile robot designed to deliver food to the offices at CMU while engaging in meaningful social interaction.
Social Robots
We are developing robots with personality.
Software Package for Precise Camera Calibration
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.
Sonic FlashlightTM
We are developing a method of medical visualization that merges real time ultrasound images with direct human vision.
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 Segmentation of Human Motion
Temporal segmentation of human motion
Temporal Shape-From-Silhouette
We are developing algorithms for the computation of 3D shape from multiple silhouette images captured across time.
Terrain Estimation using Space Carving Kernels
This project uses information about the ray extending from the sensor to the sensed surface be used to improve terrain estimation in unstructured environments.
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.
Tightly Integrated Stereo and LIDAR
The goal of this project is to use sparse, but accurate 3D data from LIDAR to improve the estimation of dense stereo algorithms in terms of accuracy and speed.
Transforming Surface Representations to Volumetric Representations
This project’s goal is to transform the surface-based representations that are naturally derived from sensed data into volumetric representations needed by CAD and BIM.
Understanding and Modeling Trust in Human-Robot Interactions
This collaboration with the UMass Lowell Robotics Lab seeks to develop quantitative metrics to measure a user's trust in a robot as well as a model to estimate the user's level of trust in real time. Using this information, the robot will be able to adjust its interaction accordingly.
Unification of Component Analysis
This project aims to find the fundamental set of equations that unifies all component analysis methods.
Vehicle Localization in Naturally Varying Environments
The purpose of this project is to develop methods for place matching that are invariant to short- and long-term environmental variations in support of autonomous vehicle localization in GPS-denied situations.