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 12 of 12 for “"computer vision and pattern recognition"”.
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Towards a Strawberry Harvest Prediction System Using Computer Vision and Pattern Recognition
… is approaching, so they can allocate resources and hire workers as efficiently as possible. Existing methods are subjective and labor intensive, and require the expertise of a professional forecaster. Cal Poly’s EE department has been collaborating with the Cal Poly Strawberry Center to …
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Mutual Information-based RBM Neural Networks
… networks are increasingly being used for various computer vision and pattern recognition tasks due to their strong ability to learn highly discriminative features. However, quantitative analysis of their classication ability and design philosophies are still nebulous. In this work, we use …
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Classification of species and color of finished wooden components
This thesis describes the use of computer vision and pattern recognition technology in the design of an automatic system which can distinguish species and color of finished wooden components. The system can identify three different species that are stained with several different colors. This system …
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Human Action Recognition in Still Images
Recently still image-based human action recognition has become an active research topic in computer vision and pattern recognition. It focuses on identifying a person's action or behavior from a single image. Unlike the traditional action recognition approaches where videos or image sequences are …
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A Study of Face Embedding in Face Recognition
<p>Face Recognition has been a long-standing topic in computer vision and pattern recognition field because of its wide and important applications in our daily lives such as surveillance system, access control, and so on. The current modern face recognition model, which keeps only a couple of …
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Learning deformable models for tracking human motion
The analysis and automatic interpretation of images containing moving non-rigid objects, such as walking people, has been the subject of considerable research in the field of computer vision and pattern recognition. In order to build fast and reliable systems some kind of prior model is generally …
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A high performance automatic face recognition system using 3D shape information
Face recognition is one of the most important applications to receive attention in the areas of Computer Vision and Pattern Recognition. However, face recognition has many challenges and difficulties, such as the requirement for high speed search in large datasets and the requirement for high match …
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Investigation of new learning methods for visual recognition
Visual recognition is one of the most difficult and prevailing problems in computer vision and pattern recognition due to the challenges in understanding the semantics and contents of digital images. Two major components of a visual recognition system are discriminatory feature representation and …
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SARLBP and STMO-GA : two novel description and selection approaches for challenging feature classification problems
Texture analysis and classification is a much-researched area due to its significance within computer vision and pattern recognition applications. Broadly speaking, two approaches for texture classification are found in the literature today: Classical and Deep Learning (DL) based. Typical Deep …
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Model Free Human Pose Estimation with Application to the Classification of Abnormal Human Movement and the Detection of Hidden Loads
The extraction and analysis of human gait characteristics using image sequences are an important area of research. Recently, the focus of this research area has turned to computer vision as an unobtrusive way to analyze human motions. The applications for such a system are wide ranging in many …
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Trimačio objekto erdvinio modelio sukūrimas iš dvimačių vaizdų naudojant mašininį mokymąsi /
… as points within the pictures, cross-match them, and find a global solution. However, achieving a successful reconstruction of any given scene is not straightforward. Therefore, this work investigates the minimal quantity and quality of images required in various controlled synthetically generated …
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Real-time Traffic State Prediction: Modeling and Applications
… in Advanced Traveler Information Systems (ATISs) and Advanced Traffic Management Systems (ATMSs). A key component of these systems is the prediction of the spatiotemporal evolution of roadway traffic state and travel time. From the perspective of travelers, such information can result in better …