Browsing CAS: Computer Science: Technical Reports by Author "Sclaroff, Stan"

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Browsing CAS: Computer Science: Technical Reports by Author "Sclaroff, Stan"

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  • Athitsos, Vassilis; Sclaroff, Stan (Boston University Computer Science Department, 2001)
    Ongoing work towards appearance-based 3D hand pose estimation from a single image is presented. A large database of synthetic hand views is generated using a 3D hand model and computer graphics. The views display different ...
  • Rosales, Romer; Athitsos, Vassilis; Sigal, Leonid; Sclaroff, Stan (Boston University Computer Science Department, 2000-12-04)
    A system for recovering 3D hand pose from monocular color sequences is proposed. The system employs a non-linear supervised learning framework, the specialized mappings architecture (SMA), to map image features to likely ...
  • Rosales, Rómer; Sclaroff, Stan (Boston University Computer Science Department, 1998-12-04)
    A mechanism is proposed that integrates low-level (image processing), mid-level (recursive 3D trajectory estimation), and high-level (action recognition) processes. It is assumed that the system observes multiple moving ...
  • Alon, Jonathan; Athitsos, Vassilis; Sclaroff, Stan (Boston University Computer Science Department, 2005-06-03)
    Gesture spotting is the challenging task of locating the start and end frames of the video stream that correspond to a gesture of interest, while at the same time rejecting non-gesture motion patterns. This paper proposes ...
  • Sclaroff, Stan; Isidoro, John (Boston University Computer Science Department, 1997-05-05)
    A new region-based approach to nonrigid motion tracking is described. Shape is defined in terms of a deformable triangular mesh that captures object shape plus a color texture map that captures object appearance. Photometric ...
  • Isidora, John; Sclaroff, Stan (Boston University Computer Science Department, 1998-02-16)
    A vision based technique for non-rigid control is presented that can be used for animation and video game applications. The user grasps a soft, squishable object in front of a camera that can be moved and deformed in order ...
  • Thangali, Ashwin; Sclaroff, Stan (Boston University Computer Science Department, 2009-03-11)
    Locating hands in sign language video is challenging due to a number of factors. Hand appearance varies widely across signers due to anthropometric variations and varying levels of signer proficiency. Video can be captured ...
  • Athitsos, Vassilis; Sclaroff, Stan (Boston University Computer Science Department, 2001)
    An appearance-based framework for 3D hand shape classification and simultaneous camera viewpoint estimation is presented. Given an input image of a segmented hand, the most similar matches from a large database of synthetic ...
  • Tian, Tai-Peng; Li, Rui; Sclaroff, Stan (Boston University Computer Science Department, 2005-07-07)
    A learning based framework is proposed for estimating human body pose from a single image. Given a differentiable function that maps from pose space to image feature space, the goal is to invert the process: estimate the ...
  • Erdem, Ugur Murat; Sclaroff, Stan (Boston University Computer Science Department, 2004-04-15)
    In many multi-camera vision systems the effect of camera locations on the task-specific quality of service is ignored. Researchers in Computational Geometry have proposed elegant solutions for some sensor location problem ...
  • Sclaroff, Stan; Erdem, Ugur Marat (Boston University Computer Science Department, 2003-12-08)
    In many multi-camera vision systems the effect of camera locations on the task-specific quality of service is ignored. Researchers in Computational Geometry have proposed elegant solutions for some sensor location problem ...
  • Yuan, Quan; Sclaroff, Stan; Athitsos, Vassilis (Boston University Computer Science Department, 2004-11-02)
    In gesture and sign language video sequences, hand motion tends to be rapid, and hands frequently appear in front of each other or in front of the face. Thus, hand location is often ambiguous, and naive color-based hand ...
  • Erdem, Ugur Murat; Sclaroff, Stan (Boston University Computer Science Department, 2002)
    An automated system for detection of head movements is described. The goal is to label relevant head gestures in video of American Sign Language (ASL) communication. In the system, a 3D head tracker recovers head rotation ...
  • Athitsos, Vassilis; Sclaroff, Stan (Boston University Computer Science Department, 2004-02-13)
    This paper introduces an algorithm that uses boosting to learn a distance measure for multiclass k-nearest neighbor classification. Given a family of distance measures as input, AdaBoost is used to learn a weighted distance ...
  • Athitsos, Vassilis; Alon, Jonathan; Sclaroff, Stan; Kollios, George (Boston University Computer Science Department, 2003-11-24)
    This paper introduces BoostMap, a method that can significantly reduce retrieval time in image and video database systems that employ computationally expensive distance measures, metric or non-metric. Database and query ...
  • Liu, Lifeng; Sclaroff, Stan (Boston University Computer Science Department, 1997-11-24)
    A new deformable shape-based method for color region segmentation is described. The method includes two stages: over-segmentation using a traditional color region segmentation algorithm, followed by deformable model-based ...
  • Sethi, Saratendu; Sclaroff, Stan (Boston University Computer Science Department, 1999-07-27)
    We propose to investigate a model-based technique for encoding non-rigid object classes in terms of object prototypes. Objects from the same class can be parameterized by identifying shape and appearance invariants of the ...
  • La Casica, Marco; Sethi, Sarathendu; Sclaroff, Stan (Boston University Computer Science Department, 1998-02-09)
    Some WWW image engines allow the user to form a query in terms of text keywords. To build the image index, keywords are extracted heuristically from HTML documents containing each image, and/or from the image URL and file ...
  • Isidoro, John; Sclaroff, Stan (Boston University Computer Science Department, 2003-12-02)
    Space carving has emerged as a powerful method for multiview scene reconstruction. Although a wide variety of methods have been proposed, the quality of the reconstruction remains highly-dependent on the photometric ...
  • Athitsos, Vassilis; Sclaroff, Stan (Boston University Computer Science Department, 2003-04-01)
    Estimation of 3D hand pose is useful in many gesture recognition applications, ranging from human-computer interaction to automated recognition of sign languages. In this paper, 3D hand pose estimation is treated as a ...

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