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 20 of 20 for “"Feature descriptors"”.
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Investigation of new feature descriptors for image search and classification
… should address the key issues of discriminatory feature extraction as well as efficient and accurate classification. Towards that end, this dissertation focuses on exploring new image descriptors by incorporating cues from the human visual system, and integrating local, texture, shape as well as …
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A Framework for Object Recognition in Construction Using Building Information Modeling and High Frame Rate 3D Imaging
… research presents a new framework for linking feature descriptors to a BIM to support construction object recognition. The proposed framework is based upon the Property and External Reference Resource schemas within the IFC 2x3 TC1 architecture. Within this framework a new Property Set …
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Comparing visual features for morphing based recognition
… deformable shape matching. Three types of visual features, geometric blur, C1 and SIFT, are used to generate feature descriptors. These feature descriptors are then used to find point correspondences between pairs of images. Various morphable models are created by small subsets of these …
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Feature extraction for range image interpretation using local topology statistics
… based on the extraction and matching of local features from the images. In recent years, approaches to interpret two-dimensional (2D) images based on local feature extraction have advanced greatly, for example, systems such as Scale Invariant Feature Transform (SIFT) can detect and describe the …
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Towards a Visual Simultaneous Localization and Mapping System for Computationally Constrained Systems
… and Oriented FAST and Rotated BRIEF (ORB) feature descriptors are introduced and compared against Speeded Up Robust Features (SURF). BRISK is shown to achieve similar relative pose estimation performance than SURF while being an order of magnitude faster. This work also discusses a simple …
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Feature-based geometric modeling using B-spline surfaces and a natural language approach
… being to interpret them and recognize geometric features to evaluate the design. Solid modeling systems have made the task somewhat easier, but they often require tedious and complex operations using simple geometric primitives. This has led to investigation of modeling systems which allow the …
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Annotation of multimedia learning materials for semantic search
… state of the art techniques to determine best feature descriptors suitable for detecting transitions in a learning video is presented in this dissertation. The videos are indexed with keywords obtained from slides and a correspondence is established by segmenting the video temporally using …
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Cognitive feature fusion for effective pattern recognition in multi-modal images and videos
… popular topics in computer vision, wherein feature extraction and analysis plays an important role. Effective feature descriptors can represent the characteristics of the images and videos, however, for various images and videos, single feature can no longer meet the needs due to its …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques
… at the score and rank level. Firstly, the facial features are extracted using a novel multimodal local feature extraction approach, termed as the Curvelet-Fractal approach, which based on merging the advantages of the Curvelet transform with Fractal dimension. Secondly, a novel framework based on …
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A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques.
… at the score and rank level. Firstly, the facial features are extracted using a novel multimodal local feature extraction approach, termed as the Curvelet-Fractal approach, which based on merging the advantages of the Curvelet transform with Fractal dimension. Secondly, a novel framework based on …
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Video Object Counting in Unconstrained Environments Using Density-Based Clustering
… object counting approach using multiple local feature matching. We explain the development of a dataset with which to test our approach. Our dataset uses a new approach which we designed to extract object ground truth. We also provide a comparison of common single object trackers. We develop a …
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Covariance based point cloud descriptors for object detection and classification
… different objects in the point cloud. Various descriptors have been introduced to match features in a point cloud. Cheaper sensors are not necessarily designed to produce precise measurements, which entails that the data is not as accurate as a point cloud provided from a laser or a dedicated …
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Shoeprint image noise reduction and retrieval
… with developing and investigating robust descriptors for a shoeprint image, and it also addresses the problem of matching shoeprint images using these descriptors. In this thesis, some novel techniques for image quality measure, Gussian noise and Germ-grain noise reduction pattern …
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Tracking and modelling of team game interactions
… techniques. Multi-resolution template based feature descriptors are learned from example players' shape data, providing a mechanism for identifying players' locations in images. Sports scenes are often busy, in the sense that there may be many players close to each other, causing occlusion of …
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Landmark localisation in 3D face data
… In particular, this research devises new surface descriptors, which are derived from either unstructured face data, or a radial basis function (RBF) model of the facial surface. A ground–truth of eleven facial landmarks is collected over well–registered facial images in the Face Recognition Grand …
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Machine Learning Methods for Medical and Biological Image Computing
… of computational methods using hand-crafted features does not scale with the increasing number of brain images, hindering the pace of scientific discoveries in neuroscience. In this thesis, I propose computational methods using high-level features for automated analysis of brain images at …
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Text Extraction From Natural Scene: Methodology And Application
… is performed to design effective text structural features for distinguishing text from non-text outliers among the candidates of text strings. Scene text recognition is to transform image-based text in detected regions into readable text codes. The most basic and significant step in text …
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Multiscale techniques for image segmentation, classification and retrieval
… while the search algorithms require low-level feature description. Consequentially, additional techniques are required both prior to, and during the retrieval process to ensure the narrowing of this gap and hence facilitating successful retrieval. This study introduces new algorithms for object …
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Large databases of real and synthetic images for feature evaluation and prediction
Image features are widely used in computer vision applications from stereo matching to panorama stitching to object and scene recognition. They exploit image regularities to capture structure in images both locally, using a patch around an interest point, and globally, over the entire image. Image …
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Towards a Fast and Accurate Face Recognition System from Deep Representations
… components of a machine perception algorithm are feature extraction followed by classification or regression. The features representing the input data should have the following desirable properties: 1) they should contain the discriminative information required for accurate classification, 2) they …