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.
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Showing 1 to 6 of 6 for “"image labeling"”.
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Multispectral Image Labeling for Unmanned Ground Vehicle Environments
Described is the development of a multispectral image labeling system with emphasis on Unmanned Ground Vehicles(UGVs). UGVs operating in unstructured environments face significant problems detecting viable paths when LIDAR is the sole source for perception. Promising advances in computer vision and …
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Multi-resolution region-preserving segmentation for color images of natural scene
Image segmentation is one of the primary steps in image analysis for image labeling and retrieval. Recent Segmentation methods have shown a strong interest in graph based algorithm, and they have been quite successful in identifying significant regions and their boundaries. The cost functions used …
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Structured support vector machines learning and application in computer vision
Image labeling tasks have been a long standing challenge in computer vision. In recent years, Markov /Conditional Random Fields (MRFs/CRFs) have gained popularity for the concept of "structured" learning, by defining proper pairwise potential functions to represent the spatial correlations among …
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Structured support vector machines learning and application in computer vision
Image labeling tasks have been a long standing challenge in computer vision. In recent years, Markov /Conditional Random Fields (MRFs/CRFs) have gained popularity for the concept of "structured" learning, by defining proper pairwise potential functions to represent the spatial correlations among …
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Learning Semantic Information from Multimodal Data using Deep Neural Networks
… 20NewsGroup datasets.</p> <p>Moving from text to image type data and with additional click locations, we proposed a human in a loop automatic image labeling framework focusing on aerial images with fewer features for detection. The proposed model consists of two main parts, a prediction model and …