Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 332 for “"Object Recognition"”.
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Statistical object recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
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Reverse engineering object recognition
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 …
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Multiresolution statistical object recognition
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.
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Experiments in generic object recognition
Thesis (Ph. D.)--University of Rochester. Dept. of Computer Science, 2003.
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FUZZY METHODS FOR OBJECT RECOGNITION
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 …
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Object recognition with pictorial structures
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 …
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Attentional selection in object recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1993.
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Network Dynamics of Visual Object Recognition
<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 …
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Geometric aspects of visual object recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 1992.
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Probabilistic geometric grammars for object recognition
… 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 …
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Object recognition with partially labeled examples
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2002.
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Image retrieval, object recognition, and discriminative models
… we present approaches to image retrieval, object recognition, and discriminative models. For image retrieval, we evaluate a large variety of different descriptors and answer the questions how descriptors can be combined and which descriptor should be chosen according to which criterion. We …
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Brain Rhythms in Object Recognition and Manipulation
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 …
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Three-dimensional object recognition using laser radar
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 1992
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Object recognition using color and geometry indexing
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Multiscale geometric feature extraction and object recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
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