Search results for: Demetri Terzopoulos

Items from 1 to 20 out of 54 results

article

Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars

Chenfanfu Jiang, Siyuan Qi, Yixin Zhu, Siyuan Huang, more

International Journal of Computer Vision > 2018 > 126 > 9 > 920-941

We propose a systematic learning-based approach to the generation of massive quantities of synthetic 3D scenes and arbitrary numbers of photorealistic 2D images thereof, with associated ground truth information, for the purposes of training, benchmarking, and diagnosing learning-based computer vision and robotics algorithms. In particular, we devise a learning-based pipeline of algorithms capable...

chapter

AcFR: Active Face Recognition Using Convolutional Neural Networks

Masaki Nakada, Han Wang, Demetri Terzopoulos

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) > 35 - 40

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

We propose AcFR, an active face recognition system that employs a convolutional neural network and acts consistently with human behaviors in common face recognition scenarios. AcFR comprises two main components—a recognition module and a controller module. The recognition module uses a pre-trained VGG-Face net to extract facial image features along with a nearest neighbor identity recognition algorithm...

chapter

Automated Layout Synthesis and Visualization from Images of Interior or Exterior Spaces

Tomer Weiss, Masaki Nakada, Demetri Terzopoulos

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) > 41 - 47

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Recent work in computer graphics has explored the synthesis of indoor spaces with furniture, accessories, and other layout items. In this work, we bridge the gap between the physical and virtual worlds: Given an input image of an interior or exterior space, and a general user specification of the desired furnishings and layout constraints, our method automatically furnishes the scene with a realistic...

chapter

Attention-Based Natural Language Person Retrieval

Tao Zhou, Muhao Chen, Jie Yu, Demetri Terzopoulos

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) > 27 - 34

2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Following the recent progress in image classification and captioning using deep learning, we develop a novel natural language person retrieval system based on an attention mechanism. More specifically, given the description of a person, the goal is to localize the person in an image. To this end, we first construct a benchmark dataset for natural language person retrieval. To do so, we generate bounding...

article

Visualization of vascular injuries in extremity trauma

Kwitae Chong, Chenfanfu Jiang, Daniel Ram, Anand Santhanam, more

Medical & Biological Engineering & Computing > 2017 > 55 > 9 > 1709-1718

A tandem of particle-based computational methods is adapted to simulate injury and hemorrhage in the human body. In order to ensure anatomical fidelity, a three-dimensional model of a targeted portion of the human body is reconstructed from a dense sequence of CT scans of an anonymized patient. Skin, bone and muscular tissue are distinguished in the imaging data and assigned with their respective...

chapter

Simulating Humans and Lower Animals

Demetri Terzopoulos

Lecture Notes in Computer Science > Motion in Games > Body Simulation > 1-10

This paper summarizes material on the simulation of humans and lower animals presented by the author in an invited talk delivered at the Third International Conference on Motion in Games.

chapter

Virtual Vision

Demetri Terzopoulos, Faisal Z. Qureshi

Distributed Video Sensor Networks > Simulation, Graphics, Cognition and Video Networks > 163-177

Computer vision and sensor networks researchers are increasingly motivated to investigate complex multi-camera sensing and control issues that arise in the automatic visual surveillance of extensive, highly populated public spaces such as airports and train stations. However, they often encounter serious impediments to deploying and experimenting with large-scale physical camera networks in such real-world...

chapter

Inferring Forces and Learning Human Utilities from Videos

Yixin Zhu, Chenfanfu Jiang, Yibiao Zhao, Demetri Terzopoulos, more

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) > 3823 - 3833

2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

We propose a notion of affordance that takes into account physical quantities generated when the human body interacts with real-world objects, and introduce a learning framework that incorporates the concept of human utilities, which in our opinion provides a deeper and finer-grained account not only of object affordance but also of people's interaction with objects. Rather than defining affordance...

chapter

Medical Image Segmentation Using Topologically Adaptable Snakes

Tim McInerney, Demetri Terzopoulos

Lecture Notes in Computer Science > Computer Vision, Virtual Reality and Robotics in Medicine > Segmentation I / Telemedicine > 92-101

This paper presents a technique for the segmentation of anatomic structures in medical images using a topologically adaptable snakes model. The model is set in the framework of domain subdivision using simplicial decomposition. This framework allows the model to maintain all of the strengths associated with traditional snakes while overcoming many of their limitations. The model can flow into complex...

chapter

Biomedical Data Exploration Meets Telecollaboration

Gudrun Klinker, Ingrid Carlbom, William Hsu, Demetri Terzopoulos

Lecture Notes in Computer Science > Computer Vision, Virtual Reality and Robotics in Medicine > Segmentation I / Telemedicine > 84-91

In many biomedical applications, several researchers need to collaborate on extracting or validating models from empirical and simulation data. Often these collaborators do not reside at the same location, making collaboration and consultation difficult and costly. We present a system, TDE, which integrates sophisticated data exploration and telecollaboration capabilities. It runs in a heterogeneous...

chapter

The Cognitive Controller: A Hybrid, Deliberative/Reactive Control Architecture for Autonomous Robots

Faisal Qureshi, Demetri Terzopoulos, Ross Gillett

Lecture Notes in Computer Science > Innovations in Applied Artificial Intelligence > Session 11b: Intelligent Systems (3) > 1102-1111

The Cognitive Controller (CoCo) is a new, three-tiered control architecture for autonomous agents that combines reactive and deliberative components. A behaviour-based reactive module ensures that the agent can gracefully handle the various real-time challenges of its environment, while a logic-based deliberative module endows the agent with the ability to “think ahead”, performing more complex high-level...

chapter

From physics-based representation to functional modeling of highly complex objects

Demetri Terzopoulos

Lecture Notes in Computer Science > Object Representation in Computer Vision > 347-359

The physics-based modeling paradigm augments standard geometric representations with the principles of physical dynamics. It yields powerful models that unify the representation of object shape (geometry) and motion (dynamics) within a single computational framework. Thus, physics-based object representation transforms abstract geometry into real world, object-oriented Geometry++ with potentially...

chapter

Full-Body Hybrid Motor Control for Reaching

Wenjia Huang, Mubbasir Kapadia, Demetri Terzopoulos

Lecture Notes in Computer Science > Motion in Games > Body Control > 36-47

In this paper, we present a full-body motor control mechanism that generates coordinated and diverse motion during a reaching action. Our framework animates the full human body (stretching arms, flexing of the spine, as well as stepping forward) to facilitate the desired end effector behavior. We propose a hierarchical control system for controlling the arms, spine, and legs of the articulated character...

chapter

Multilinear Analysis of Image Ensembles: TensorFaces

M. Alex O. Vasilescu, Demetri Terzopoulos

Lecture Notes in Computer Science > Computer Vision — ECCV 2002 > Image Features / Visual Motion > 447-460

Natural images are the composite consequence of multiple factors related to scene structure, illumination, and imaging. Multilinear algebra, the algebra of higher-order tensors, offers a potent mathematical framework for analyzing the multifactor structure of image ensembles and for addressing the difficult problem of disentangling the constituent factors or modes. Our multilinear modeling technique...

chapter

Populating Reconstructed Archaeological Sites with Autonomous Virtual Humans

Wei Shao, Demetri Terzopoulos

Lecture Notes in Computer Science > Intelligent Virtual Agents > Applications of IVAs > 420-433

Significant multidisciplinary efforts combining archaeology and computer science have yielded virtual reconstructions of archaeological sites for visualization. Yet comparatively little attention has been paid to the difficult problem of populating these models, not only to enhance the quality of the visualization, but also to arrive at quantitative computer simulations of the human inhabitants that...

chapter

Artificial Life Simulation of Humans and Lower Animals: From Biomechanics to Intelligence

Demetri Terzopoulos

Lecture Notes in Computer Science > Artificial Intelligence: Theories, Models and Applications > Invited Talks > 7-7

The confluence of virtual reality and artificial life, an emerging discipline that spans the computational and biological sciences, has yielded synthetic worlds inhabited by realistic artificial flora and fauna. The latter are complex synthetic organisms with functional, biomechanically simulated bodies, sensors, and brains with locomotion, perception, behavior, learning, and cognition centers. These...

chapter

Visual Modeling for Multimedia Content

Demetri Terzopoulos

Lecture Notes in Computer Science > Advanced Multimedia Content Processing > Visual Modeling for Multimedia Content > 406-421

This paper reviews research that addresses the challenging problem of modeling living systems for multimedia content creation. First, I discuss the modeling of animals in their natural habitats for use in animated virtual worlds. The basic approach is to implement realistic artificial animals (in particular, fish) and to give them the ability to locomote, perceive, and in some sense understand the...

chapter

Multilinear (Tensor) ICA and Dimensionality Reduction

M. Alex O. Vasilescu, Demetri Terzopoulos

Lecture Notes in Computer Science > Independent Component Analysis and Signal Separation > Miscellaneous > 818-826

Multiple factors related to scene structure, illumination, and imaging contribute to image formation. Independent Components Analysis (ICA) maximizes the statistical independence of the representational components of a training image ensemble, but it cannot distinguish between these different factors, or modes. To address this problem, we introduce a nonlinear, multifactor model that generalizes ICA...

chapter

Interactive Medical Image Segmentation with United Snakes

Jianming Liang, Tim McInerney, Demetri Terzopoulos

Lecture Notes in Computer Science > Medical Image Computing and Computer-Assisted Intervention – MICCAI’99 > Segmentation Using Structural Models > 116-127

Snakes have become a standard image analysis technique with several variants now in common use. We have developed a software package called “United Snakes”. It unifies the most important snake variants, including finite difference, B-spline, and Hermite polynomial snakes, within the framework of a general finite element formulation with a choice of shape functions. Furthermore, we have incorporated...

chapter

3D estimation of facial muscle parameter from the 2D marker movement using neural network

Takahiro Ishikawa, Hajime Sera, Shigeo Morishima, Demetri Terzopoulos

Lecture Notes in Computer Science > Computer Vision — ACCV'98 > 671-678

Muscle based face image synthesis is one of the most realistic approach to realize life-like agent in computer. Facial muscle model is composed of facial tissue elements and muscles. In this model, forces are calculated effecting facial tisssue element by contraction of each muscle strength, so the combination of each muscle parameter decide a specific facial expression. Now each muscle parameter...

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DEFORMABLE MODELS (7)
VISUALIZATION (5)
ARTIFICIAL LIFE (3)
COMPUTATIONAL MODELING (3)
COMPUTER VISION (3)
FINITE ELEMENTS (3)
CAMERA NETWORKS (2)
DEFORMABLE ORGANISMS (2)
DYNAMICS (2)
EQUATIONS (2)
FEATURE EXTRACTION (2)
IMAGE SEGMENTATION (2)
INVERSE PROBLEMS (2)
MATCHING (2)
MOTION TRACKING (2)
PERSISTENT HUMAN OBSERVATION (2)
PHYSICS-BASED MODELING (2)
SEGMENTATION (2)
SHAPE MODELING (2)
SMART CAMERAS (2)
SOLID MODELING (2)
TRAINING (2)
VIRTUAL HUMANS (2)
VISUAL SURVEILLANCE (2)
3D BOUNDARY EXTRACTION (1)
3D/4D MEDICAL IMAGE ANALYSIS (1)
ACTIVE CONTOURS (1)
ACTIVE CONTOURS (SNAKES) (1)
ACTIVE SURFACES (1)
ADABOOST (1)
ADAPTIVE REMESHING (1)
AFFINE CELL IMAGE DECOMPOSITION (ACID) (1)
ALGORITHM DESIGN AND ANALYSIS (1)
APPROXIMATION METHODS (1)
ARM ROTATION STRATEGY (1)
ARS (1)
AUTOMATIC QUANTITATIVE MEASUREMENT (1)
AUTONOMOUS CHARACTERS (1)
BALANCE (1)
BALANCE RECOVERY (1)
BEHAVIORAL ANIMATION (1)
BENCHMARKS (1)
BIOMECHANICAL MODELING AND SIMULATION (1)
BIPEDAL ROBOTS (1)
BREAST REGION ISOLATION (1)
BUOYANCY SIMULATION (1)
CAGD (1)
CAMERA SENSOR NETWORKS (1)
CARDIAC LV SEGMENTATION (1)
CARDIOVASCULAR TREE MODEL (1)
CHARACTER ANIMATION (1)
CLUTTER (1)
COGNITIVE MODELING (1)
COMPLEX BIOLOGICAL STRUCTURES (1)
COMPUTED TOMOGRAPHY (1)
COMPUTER ANIMATION (1)
COMPUTER GRAPHICS (1)
CONSTRAINTS (1)
CONTROL (1)
CONTROLLED-CONTINUITY CONSTRAINTS (1)
CORONARY CALCIUM SCORE (1)
DEFORMABLE CONTOURS (SNAKES) (1)
DEFORMABLE SURFACE MODEL (1)
DEPTH PREDICTION (1)
DEXTEROUS MANIPULATORS (1)
DISCONTINUITIES (1)
DISTRIBUTED COALITION FORMATION (1)
DYNAMIC CHEST IMAGE ANALYSIS (1)
EARLY VISION (1)
EPICARDIAL ADIPOSE TISSUE (1)
FACE (1)
FACE RECOGNITION (1)
FEM (1)
FINITE ELEMENT ANALYSIS (1)
FORCE (1)
GENERAL-PURPOSE COMPUTATION ON GPUS (1)
GROWTH PLATE QUANTIFICATION (1)
HAUSDORFF (1)
HEMORRHAGE SIMULATION (1)
HUMAN BODY MODELING (1)
HUMAN FACE MODELING (1)
HUMANOID (1)
HUMANOID ROBOTS (1)
IMAGE ANALYSIS (1)
IMAGE EDGE DETECTION (1)
IMAGE GRAMMAR (1)
IMAGE RECOGNITION (1)
IMAGE RECONSTRUCTION (1)
IMAGE RESOLUTION (1)
INDOOR SCENES (1)
INJURY BIOMECHANICS (1)
INTELLIGENT AGENTS (1)
INTELLIGENT SCISSORS (1)
INTERACTION (1)
INTERACTIVE 3D MODELING, (1)
INTERACTIVE IMAGE ANALYSIS (1)
INTERACTIVE SCULPTING (1)
INTERACTIVE SIMULATION (1)
INTERPOLATION (1)
ISCHEMIA (1)
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INFONA - science communication portal

Search results for: Demetri Terzopoulos

Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars

AcFR: Active Face Recognition Using Convolutional Neural Networks

Automated Layout Synthesis and Visualization from Images of Interior or Exterior Spaces

Attention-Based Natural Language Person Retrieval

Visualization of vascular injuries in extremity trauma

Simulating Humans and Lower Animals

Virtual Vision

Inferring Forces and Learning Human Utilities from Videos

Medical Image Segmentation Using Topologically Adaptable Snakes

Biomedical Data Exploration Meets Telecollaboration

The Cognitive Controller: A Hybrid, Deliberative/Reactive Control Architecture for Autonomous Robots

From physics-based representation to functional modeling of highly complex objects

Full-Body Hybrid Motor Control for Reaching

Multilinear Analysis of Image Ensembles: TensorFaces

Populating Reconstructed Archaeological Sites with Autonomous Virtual Humans

Artificial Life Simulation of Humans and Lower Animals: From Biomechanics to Intelligence

Visual Modeling for Multimedia Content

Multilinear (Tensor) ICA and Dimensionality Reduction

Interactive Medical Image Segmentation with United Snakes

3D estimation of facial muscle parameter from the 2D marker movement using neural network

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