BABYL OPTIONS: Version: 5 Labels: Note: This is the header of an rmail file. Note: If you are seeing it in rmail, Note: it means the file has no messages in it.  1,, Return-Path: Received: from media.mit.edu (media-lab.media.mit.edu) by life.ai.mit.edu (4.1/AI-4.10) for welg id AA14831; Wed, 7 Jun 95 10:20:01 EDT Received: by media.mit.edu (5.57/DA1.0.4.amt) id AA15837; Wed, 7 Jun 95 10:19:57 -0400 From: Laurie Pillsbury Received: by shoreditch.media.mit.edu (8.6.11/DA.WS.1.0.5) id KAA01456; Wed, 7 Jun 1995 10:20:23 -0400 Date: Wed, 7 Jun 1995 10:20:23 -0400 Message-Id: <199506071420.KAA01456@shoreditch.media.mit.edu> To: welg@ai.mit.edu Subject: Media Lab ICCV Open House Reply-To: lawp@media.mit.edu *** EOOH *** Return-Path: From: Laurie Pillsbury Date: Wed, 7 Jun 1995 10:20:23 -0400 To: welg@ai.mit.edu Subject: Media Lab ICCV Open House Reply-To: lawp@media.mit.edu Eric, Sandy asked me to forward the Names and titles of everyone giving demos on Thursday, June 22. Please let me know if you have any questions. Regards, Laurie ________________________________________________________________________ Adelson, Edward Lightness, Transparency, and Mid-Level Vision Agamanolis, Stefan Object-oriented television and Cheops processing system Askey, David Automated Extraction and Resynthesis of Walkers Azarbayejani, Ali Put That There Basu, Sumit Ambient Microphone Speech Recognition Becker, Shawn Semiautomatic 3D model building and lens distortion correction Brand, Matt Physics-based scene understanding Campbell, Lee Phase Space Recognition of Human Body Motion Casey, Mike Vision-Steered Phased-Array Microphones Darrell, Trevor ALIVE, Active Face Tracking/Recognition/Pose Estimation Essa, Irfan Recognizing Facial Expressions Gardner, Bill Transaural Rendering Intille, Stephen Closed-World Tracking Liu, Fang Wold-based Texture Modeling Mann, Steve Video Orbits for Mosaicing and Resolution Enhancement Minka, Tom Photobook: Content-Based Image Retrieval Moghaddam, Baback Large Database Face Recognition, and Active Face Recognition/Tracking/Pose Recognition Nastar, Chahab Thin-plate Models for Motion Analysis and Object Recognition Neveitt, Bill Sorting Textures using Cascaded Sub-band Energy Statistics Niyogi, Sourabh Detecting Kinetic Occlusion Pinhanez, Claudio SmartCam Popat, Kris High-Dimensional Probabilistic Modeling Sherstinsky, Alex M-Lattice -- Nonlinear Dynamics For Vision and Image Processing Starner, Thad Real-time visual recognition of American Sign Language Szummer, Martin Scene Cut Detection and Motion Texture Modeling Wachman, Josh Query by Content in Video Sequences Wang, John Layered Image Representation Weiss, Yair Non-Rigid Motion Segmentation: Psychophysics and Modeling Wilson, Andrew Learning Visual Behavior for Gesture Analysis Wren, Chris ALIVE  1, answered,, Return-Path: Received: from aleve.media.mit.edu by life.ai.mit.edu (4.1/AI-4.10) for welg id AA25097; Tue, 13 Jun 95 16:05:14 EDT Received: from shoreditch.media.mit.edu by aleve.media.mit.edu; (5.65/1.1/06Jun95-8.2MPM) id AA06056; Tue, 13 Jun 1995 16:05:12 -0400 From: Laurie Pillsbury Received: by shoreditch.media.mit.edu (8.6.11/DA.WS.1.0.5) id QAA02385; Tue, 13 Jun 1995 16:05:36 -0400 Date: Tue, 13 Jun 1995 16:05:36 -0400 Message-Id: <199506132005.QAA02385@shoreditch.media.mit.edu> To: welg@ai.mit.edu Subject: Demo Descriptions, Media Lab Reply-To: lawp@media.mit.edu *** EOOH *** Return-Path: From: Laurie Pillsbury Date: Tue, 13 Jun 1995 16:05:36 -0400 To: welg@ai.mit.edu Subject: Demo Descriptions, Media Lab Reply-To: lawp@media.mit.edu ADELSON, EDWARD "Lightness, Transparency, and Mid-Level Vision" Some new brightness illusions will be demonstrated. These illusions indicate the importance of mid-level mechanisms involving transparency, occlusion, and lighting. AGAMANOLIS, STEFAN "Object-oriented television and Cheops processing system" Cheops is a data-flow computer built in the lab which can be used to display such "structured video" programs in real time. Structured video is represented as 2D and 3D objects rather than pixels or frames. These objects are "transmitted" together with a script that tells how to assemble them to make a television program. ASKEY, DAVID "Automated Extraction and Resynthesis of Walkers" Automated layer decomposition of walkers in an image sequence: an approach for efficient coding and resynthesis of walking motion using component layers. AZARBAYEJANI, ALI "Put That There/Models from Video" We will show a wide-baseline stereo system for tracking people in 3-D based on symbolic correspondence. The system is self-calibrated and the output is used for gestural control in a 3-D audio visual environment. We will also show a system for building 3D models from video, which is based on our Structure-from-Motion research, described in last month's IEEE PAMI. BASU, SUMIT "Ambient Microphone Speech Recognition" This demonstration illustrates the use of an array of microphones along with visual cues to perform speech recognition "at a distance" in a noisy, open environment. BECKER, SHAWN "Semiautomatic 3D model building and lens distortion correction" Reconstructing camera parameters, planar 3-D geometry and surface texture, given one or more views of a scene with pre-selected parallel and coplanar edges. This technique has been used to generate a 3-D textured database from a set of still images taken with an uncalibrated 35mm camera. This technique has also been used to determine 3-D positions of actors from video. BRAND, MATT "Physics-based scene understanding" Knowledge-intensive vision systems can understand scenes with complex visual and causal structure. This demo shows the visual analysis and explanation of a variety of artifacts, including mechanical transmissions. CAMPBELL, LEE "Phase Space Recognition of Human Body Motion" This work presents a method for representing and recognizing human body motion. It identifies sets of constraints that are diagnostic of a movement; different constraints identify different movements. CASEY, MIKE "Vision-Steered Phased-Array Microphones" A beam-forming microphone array is used to capture noisy speech input from the ALIVE space. Using the position information provided by the vision system, we obtain audio singal enhancements up to 10dB. DARRELL, TREVOR "ALIVE, Active Face Tracking/Recognition/Pose Estimation" We will show active face tracking, recognition and pose estimation in the ALIVE system. Users can walk about a room and interact with autonomous virtual creatures in a `Magic Mirror' paradigm; the creatures can recognize/track/respond to the users face as well as body position and hand gestures. ESSA, IRFAN "Recognizing Facial Expressions" We describe our methods for extracting detailed representations of facial motion from video. We will show how these representation can be used for Coding, Analysis, Recognition, Tracking and Synthesis of Facial Expressions. GARDNER, BILL "Transaural Rendering" The STIVE demo will feature a three-dimensional audio system which uses only two speakers to create the illusion of sounds emanating from arbitrary directions around the listener. INTILLE, STEPHEN "Closed-World Tracking" Tracking for video annotation using contextual information to dynamically select tracked features. Example domain: football plays. LIU, FANG "Wold-based Texture Modeling" We apply the Wold-based texture model to image database retrieval. The Wold model provides perceptually sensible features which correspond well to the reported most important dimensions of human texture perception -- periodicity, directionality, and randomness. MANN, STEVE "Video Orbits for Mosaicing and Resolution Enhancement/ Wearable Computers" New featureless multiscale method of estimating the homographic coordinate transformation between a pair of images. This method is used to make pictures with a "Visual filter" equipped with image acquisition and display capability. Standing in a single location. A scene is scanned on a large "video canvas" where each new frame undergoes the appropriate homographic coordinate transformation to insert it correctly into the image mosaic. I will also show my work on wearable computers and NetCam. MINKA, TOM "Photobook: Content-Based Image Retrieval" Content-based image annotation is complicated by the fact that feature salience varies with context. FourEyes indexes images using several features which are consulted independently, based on user interaction. MOGHADDAM, BABACK "Large Database Face Recognition, and Active Face Recognition/Tracking/Pose Recognition" An automatic system for detection, recognition and model-based coding of human faces is presented. The system is able to detect human faces (at various scales and different poses) in the input scene and geometrically align them prior to recognition and compression. The system has been tested successfully on over 2,000 faces from ARPA's FERET program. NASTAR, CHAHAB "Thin-plate Models for Motion Analysis and Object Recognition" We present a deformable model for nonrigid motion tracking (e.g. heart motion). A similar model can be used for object recognition (e.g face recognition). NIYOGI, SOURABH "Detecting Kinetic Occlusion" Description: Detecting motion boundaries in image sequences through local spatiotemporal junction analysis; deducing ordinal depth locally from accretion and deletion cues. PINHANEZ, CLAUDIO "SmartCam" An SmartCam is a robotic camera which operates in a TV studio without a cameraman, using computer vision to find objects and people in complex scenes. The development of SmartCams requires new methods and ideas in context-based vision, action recognition, and architecture of computer vision systems. POPAT, KRIS "High-Dimensional Probabilistic Modeling" Improved probabilistic models often mean better performance in a variety of systems. Accurate modeling usually requires high-dimensional modeling, with its attendant difficulties. We explore some approaches to high-dimensional modeling, and explore their application to image compression and restoration, and to texture synthesis and classification. SHERSTINSKY, ALEX "M-Lattice -- Nonlinear Dynamics For Vision and Image Processing" This research investigates the mathematical properties of the Reaction-Diffusion model and its derivative the new "M-Lattice" system. Originated by Alan Turing in order to explain morphogenesis, we demonstrate these models' applications to computational vision and image processing. STARNER, THAD "Real-time visual recognition of American Sign Language /Wearable Computing" Full-sentence, 40-word lexicon ASL is recognized with an accuracy of 99.2% in real-time without explicit modelling of the fingers. One color camera is used for tracking. I will also show my work on wearable computers and rememberance agents. SZUMMER, MARTIN "Scene Cut Detection and Motion Texture Modeling" 1) A robust algorithm for finding cuts in video -- to "skip ahead to the next shot." 2) A stochastic motion model for estimating and resynthesizing spatio-temporal patterns. (water, smoke, etc.) WACHMAN, JOSH "Query by Content in Video Sequences" Unsupervised, Cross-Modal Characterization of Discourse in Tonight Show Monlogues: Preliminary results from analysis of audio and visual-kinesic features as processed with the isodata clustering algorithm demonstrate a bottom up approach to discourse analysis WANG, JOHN "Layered Image Representation" We will demonstrate novel techniques in motion estimation and segmentation based on mid-level vision concepts for applications in image coding, data compression, video special effects, and 3D structure recovery. WEISS, YAIR "Non-Rigid Motion Segmentation: Psychophysics and Modeling" Estimating non-rigid motion requires integrating multiple constraints while segmenting others. We will show psychophysical demonstrations which reveal how the human visual system solves this dilemma. WILSON, ANDREW "Learning Visual Behavior for Gesture Analysis" The "visual behavior" of gesture is recovered from a number of example image sequences by concurrently training the temporal model and multiple models of the visual scene. The training process is demonstrated. WREN, CHRIS "ALIVE" We will show active face tracking, recognition and pose estimation in the ALIVE system. Users can walk about a room and interact with autonomous virtual creatures in a `Magic Mirror' paradigm; the creatures can recognize/track/respond to the users face as well as body position and hand gestures.