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 5 of 5 for “"Image Parsing"”.
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Joint appearance and locality image representation by Gaussianization
A novel image representation is proposed in this thesis to capture both the appearance and locality information for image classification applications. First, we model the feature vectors, from various granularity levels including the corpus level, the image level and image patch level, in a …
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Beyond pixels : exploring new representations and applications for motion analysis
… I will show the benefits of matching local image structures instead of intensity values. We propose SIFT flow that establishes dense, semantically meaningful correspondence between two images across scenes by matching pixel-wise SIFT features. Using SIFT flow, we develop a new framework for …
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Structure prediction for human parsing
… prediction is well-suited for detecting and parsing people in images (and videos) due to the advantage of learning local part appearance models jointly with relationships between body parts. In detecting people, this method can deal with hard cases, for example, a person mounting a bicycle, …
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Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment
… improve frequency, detail, and applicability of image-based condition assessment via automating detection, classification, and 3D localization of multiple types of high-quantity low-cost roadway assets using both images collected by the DOTs and online databases such Google Street View Images. To …
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Scene understanding with complete scenes and structured representations
… surfaces. Our method is applicable to 2D images, and can also be used to infer support surfaces in 3D scenarios. Our complete surface prediction quantitatively out-performs relevant baselines, especially when they are occluded. Finally, we present a system that interprets from single-view …