Search for dissertations about: "visual pattern classification"
Showing result 1 - 5 of 12 swedish dissertations containing the words visual pattern classification.
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1. Visual Object Tracking and Classification Using Multiple Sensor Measurements
Abstract : Multiple sensor measurement has gained in popularity for computer vision tasks such as visual object tracking and visual pattern classification. The main idea is that multiple sensors may provide rich and redundant information, due to wide spatial or frequency coverage of the scene, which is advantageous over single sensor measurement in learning object model/feature and inferring target state/attribute in complex scenarios. READ MORE
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2. Automated Tissue Image Analysis Using Pattern Recognition
Abstract : Automated tissue image analysis aims to develop algorithms for a variety of histological applications. This has important implications in the diagnostic grading of cancer such as in breast and prostate tissue, as well as in the quantification of prognostic and predictive biomarkers that may help assess the risk of recurrence and the responsiveness of tumors to endocrine therapy. READ MORE
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3. Selected Topics in Inertial and Visual Sensor Fusion : Calibration, Observability Analysis and Applications
Abstract : Recent improvements in the development of inertial and visual sensors allow building small, lightweight, and cheap motion capture systems, which are becoming a standard feature of smartphones and personal digital assistants. This dissertation describes developments of new motion sensing strategies using the inertial and inertial-visual sensors. READ MORE
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4. Seeing the invisible: Evolution of wing interference patterns in Hymenoptera, and their application in taxonomy
Abstract : The remarkably thin transparent wing membranes in tiny wasps may appear to have a simple structural design, but hide a largely unexplored complex of micro-morphological features that serve aerodynamics and may also function in visual signaling. I found that when such small transparent wings are viewed against a dark background they display vivid structural color patterns due to thin film interference, and named them Wing Interference Patterns (WIPs). READ MORE
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5. Pattern recognition for automating condition monitoring of wooden railway sleepers
Abstract : The thesis aims to investigate the current state of railway sleeper inspection and proposes automatic testing procedures based on pattern recognition for future inspections concerning the condition of the sleeper. Wooden railway sleeper inspections in Sweden are currently done by hand. READ MORE