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Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.

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Showing 1 to 20 of 317 for “"object recognition"”.

  1. Statistical object recognition

    Wells, William MercerMassachusetts Institute of Technology1993

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.

    mit Repository record

  2. Reverse engineering object recognition

    Cox, David DanielMassachusetts Institute of Technology2007

    Any given object in the world can cast an effectively infinite number of different images onto the retina, depending on its position relative to the viewer, the configuration of light sources, and the presence of other objects in the visual field. In spite of this, primates can robustly recognize a …

    mit Repository record

  3. Multiresolution statistical object recognition

    Baker, Jonathan D. (Jonathan Daniel)Massachusetts Institute of Technology1994

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.

    mit Repository record

  4. Expert Object Recognition in video

    McEuen, Matthew S.

    rit Repository record

  5. FUZZY METHODS FOR OBJECT RECOGNITION

    XIAOFAN LIU1996

    The objective of this thesis is to propose fuzzy methods for object recognition. By integrating the pyramid structure and fuzzy set theory, we develop a fuzzy pyramid scheme within which we can achieve automatic object recognition invariant to scale, translation, rotation and distortions. There are …

    nus Repository record

  6. Object recognition with pictorial structures

    Felzenszwalb, Pedro F., 1976-Massachusetts Institute of Technology2001

    This thesis presents a statistical framework for object recognition. The framework is motivated by the pictorial structure models introduced by Fischler and Elschlager nearly 30 years ago. The basic idea is to model an object by a collection of parts arranged in a deformable configuration. The …

    mit Repository record

  7. Attentional selection in object recognition

    Mahmood, S. Tanveer FMassachusetts Institute of Technology1993

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.

    mit Repository record

  8. Network Dynamics of Visual Object Recognition

    Kadipasaoglu, Mehmet C2016

    <p>Visual object recognition is the principal mechanism by which humans and many animals interpret their surroundings. Despite the complexity of neural computation required, object recognition is achieved with such rapidity and accuracy that it appears to us almost effortless. Extensive human and …

    uthsc Repository record

  9. A new approach to object recognition

    Sergeev, NikolaiUniversität Ulm

    ulm-diss Repository record

  10. Geometric aspects of visual object recognition

    Breuel, Thomas MMassachusetts Institute of Technology1992

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1992.

    mit Repository record

  11. Probabilistic geometric grammars for object recognition

    Aycinena, Margaret AidaMassachusetts Institute of Technology2005

    … three-dimensional (3D) representation and recognition framework for classes of objects. The framework uses probabilistic grammars to represent object classes recursively in terms of their parts, thereby exploiting the hierarchical and substitutive structure inherent to many types of …

    mit Repository record

  12. Object recognition with partially labeled examples

    Crane, Andrew S. (Andrew Scott), 1980-Massachusetts Institute of Technology2002

    Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.

    mit Repository record

  13. Brain Rhythms in Object Recognition and Manipulation

    Foerster, François2020

    Our manual interactions with objects represent the most fundamental activity in our everyday life. Whereas the grasp of an object is driven by the perceptual senses, using an object for its function relies on learnt experience to retrieve. Recent theories explain how the brain takes decisions based …

    plymouth Repository record

  14. Three-dimensional object recognition using laser radar

    Green, Thomas Joseph.Massachusetts Institute of Technology1992

    Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1992

    mit Repository record

  15. Object recognition using color and geometry indexing

    Lee, Lily, 1971-Massachusetts Institute of Technology1995

    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.

    mit Repository record

  16. Multiscale geometric feature extraction and object recognition

    Jaggi, S. (Seema)Massachusetts Institute of Technology1997

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.

    mit Repository record

  17. Passive object recognition using intrinsic shape signatures

    Donahue, Kenneth M. (Kenneth Michael)Massachusetts Institute of Technology2011

    … obstacle detection and avoidance, focused object detection, etc. The goal of the project is to have a completely autonomous robot that is safe to use in a human environment. One aspect of the project which would be very beneficial to moving on to more complicated tasks is passive object …

    mit Repository record

  18. Forward engineering object recognition : a scalable approach

    Pinto, NicolasMassachusetts Institute of Technology2011

    The ease with which we recognize visual objects belies the computational difficulty of this feat. Despite the concerted efforts of both biological and computer vision research communities over the last forty years, human-level visual recognition remains an unsolved problem. The impact of a robust …

    mit Repository record

  19. Orientation dependence in three-dimensional object recognition

    Tarr, Michael J. (Michael Jay)Massachusetts Institute of Technology1989

    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1989.

    mit Repository record

  20. Object recognition with latent Conditional Random Fields

    Quattoni, Ariadna JMassachusetts Institute of Technology2005

    … a discriminative part-based approach for the recognition of object classes from unsegmented cluttered scenes. Objects are modelled as flexible constellations of parts conditioned on local observations. For each object class the probability of a given assignment of parts to local features is …

    mit Repository record

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