Now showing items 1-20 of 213

    • 3D Reconstruction of Underwater Structures 

      Beall, Chris; Lawrence, Brian J.; Ila, Viorela; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010)
      Environmental change is a growing international concern, calling for the regular monitoring, studying and preserving of detailed information about the evolution of underwater ecosystems. For example, fragile coral reefs ...
    • 4D Cities: Analyzing, Visualizing, and Interacting with Historical Urban Photo Collections 

      Schindler, Grant; Dellaert, Frank (Georgia Institute of TechnologyAcademy Publisher, 2012)
      Vast collections of historical photographs are being digitally archived and placed online, providing an objective record of the last two centuries that remains largely untapped. In this work, we propose that time-varying ...
    • 4D View Synthesis: Navigating Through Time and Space 

      Sun, Mingxuan; Schindler, Grant; Kang, Sing Bing; Dellaert, Frank (Georgia Institute of TechnologyACM, 2007)
    • Accurate On-Line 3D Occupancy Grids Using Manhattan World Constraints 

      Peasley, Brian; Birchfield, Stan; Cunningham, Alexander; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2012-10)
      In this paper we present an algorithm for constructing nearly drift-free 3D occupancy grids of large indoor environments in an online manner. Our approach combines data from an odometry sensor with output from a visual ...
    • Anticipating Human Actions for Collaboration in the Presence of Task and Sensor Uncertainty 

      Hawkins, Kelsey P.; Bansal, Shray; Vo, Nam N.; Bobick, Aaron F. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2014-06)
      A representation for structured activities is developed that allows a robot to probabilistically infer which task actions a human is currently performing and to predict which future actions will be executed and when they ...
    • Atlanta World: An Expectation Maximization Framework for Simultaneous Low-level Edge Grouping and Camera Calibration in Complex Man-made Environments 

      Schindler, Grant; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2004-06)
      Edges in man-made environments, grouped according to vanishing point directions, provide single-view constraints that have been exploited before as a precursor to both scene understanding and camera calibration. A ...
    • Attitude Heading Reference System with Rotation-Aiding Visual Landmarks 

      Beall, Chris; Ta, Duy-Nguyen; Ok, Kyel; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2012-07)
      In this paper we present a novel vision-aided attitude heading reference system for micro aerial vehicles (MAVs) and other mobile platforms, which does not rely on known landmark locations or full 3D map estimation as ...
    • Augmenting Bag-of-Words: Data-Driven Discovery of Temporal and Structural Information for Activity Recognition 

      Bettadapura, Vinay; Schindler, Grant; Plötz, Thomas; Essa, Irfan A. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2013-06)
      We present data-driven techniques to augment Bag of Words (BoW) models, which allow for more robust modeling and recognition of complex long-term activities, especially when the structure and topology of the activities ...
    • Auto-Directed Video Stabilization with Robust L1 Optimal Camera Paths 

      Grundmann, Matthias; Kwatra, Vivek; Essa, Irfan (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2011-06)
      We present a novel algorithm for automatically applying constrainable, L1-optimal camera paths to generate stabilized videos by removing undesired motions. Our goal is to compute camera paths that are composed of constant, ...
    • Automated Assessment of Surgical Skills Using Frequency Analysis 

      Zia, Aneeq; Sharma, Yachna; Bettadapura, Vinay; Sarin, Eric L.; Clements, Mark A.; Essa, Irfan (Georgia Institute of Technology, 2015)
      We present an automated framework for visual assessment of the expertise level of surgeons using the OSATS (Objective Structured Assessment of Technical Skills) criteria. Video analysis techniques for extracting motion ...
    • Automated Macular Pathology Diagnosis in Retinal OCT Images Using Multi-Scale Spatial Pyramid and Local Binary Patterns in Texture and Shape Encoding 

      Liu, Yu-Ying; Chen, Mei; Ishikawa, Hiroshi; Wollstein, Gadi; Schuman, Joel S.; Rehg, James M. (Georgia Institute of TechnologyElsevier, 2011-10)
      We address a novel problem domain in the analysis of optical coherence tomography (OCT) images: the diagnosis of multiple macular pathologies in retinal OCT images. The goal is to identify the presence of normal macula and ...
    • Automated surgical OSATS prediction from videos 

      Sharma, Yachna; Plötz, Thomas; Hammerla, Nils; Mello, Sebastian; McNaney, Roisin; Olivier, Patrick; Deshmukh, Sandeep; McCaskie, Andrew; Essa, Irfan (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2014-04)
      The assessment of surgical skills is an essential part of medical training. The prevalent manual evaluations by expert surgeons are time consuming and often their outcomes vary substantially from one observer to another. ...
    • Automatic Acquisition of 4D urban Models and Proactive Auditory Service for Enhanced User Experience 

      Oh, Sang Min; Schildler, Grant; Dellaert, Frank (Georgia Institute of Technology, 2006)
    • Automatic Landmark Detection for Topological Mapping Using Bayesian Surprise 

      Ranganathan, Ananth; Dellaert, Frank (Georgia Institute of Technology, 2008)
      Topological maps are graphical representations of the environment consisting of nodes that denote landmarks, and edges that represent the connectivity between the landmarks. Automatic detection of landmarks, usually ...
    • Autonomous Flight in GPS-Denied Environments Using Monocular Vision and Inertial Sensors 

      Wu, Allen D.; Johnson, Eric N.; Kaess, Michael; Dellaert, Frank; Chowdhary, Girish (Georgia Institute of TechnologyAmerican Institute of Aeronautics and Astronautics, 2013-04)
      A vision-aided inertial navigation system that enables autonomous flight of an aerial vehicle in GPS-denied environments is presented. Particularly, feature point information from a monocular vision sensor are used to ...
    • The Bayes Tree: An Algorithmic Foundation for Probabilistic Robot Mapping 

      Kaess, Michael; Ila, Viorela; Roberts, Richard; Dellaert, Frank (Georgia Institute of TechnologySpringer Berlin / Heidelberg, 2010-12)
      We present a novel data structure, the Bayes tree, that provides an algorithmic foundation enabling a better understanding of existing graphical model inference algorithms and their connection to sparse matrix factorization ...
    • The Bayes Tree: Enabling Incremental Reordering and Fluid Relinearization for Online Mapping 

      Kaess, Michael; Ila, Viorela; Roberts, Richard; Dellaert, Frank (Georgia Institute of TechnologyMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory, 2010-01-29)
      In this paper we present a novel data structure, the Bayes tree, which exploits the connections between graphical model inference and sparse linear algebra. The proposed data structure provides a new perspective on an ...
    • Bayesian Inference in the Space of Topological Maps 

      Ranganathan, Ananth; Menegatti, Emanuele; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-02)
      While probabilistic techniques have previously been investigated extensively for performing inference over the space of metric maps, no corresponding general purpose methods exist for topological maps. We present the ...
    • Bayesian Surprise and Landmark Detection 

      Ranganathan, Ananth; Dellaert, Frank (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2009-05)
      Automatic detection of landmarks, usually special places in the environment such as gateways, for topological mapping has proven to be a difficult task. We present the use of Bayesian surprise, introduced in computer ...
    • Beyond Sentiment: The Manifold of Human Emotions 

      Kim, Seungyeon; Li, Fuxin; Lebanon, Guy; Essa, Irfan A. (Georgia Institute of TechnologyarXiv, 2012-02)
      Sentiment analysis predicts the presence of positive or negative emotions in a text document. In this paper we consider higher dimensional extensions of the sentiment concept, which represent a richer set of human emotions. ...