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 113 for “"Sift"”.
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Parallelization of SIFT on Rigel
… at faster speeds to enable new usage models. SIFT is an algorithm for image detection and can be used for a variety of purposes. It collects key-point features that are invariant to changes in lighting, orientation and affine transforms. We ported the SIFT algorithm to the many-core …
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SIFt : a compiler for streaming applications
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Multiview active shape models with SIFT descriptors
… (ASM [21]) is introduced that uses a form of SIFT descriptors [68]. Multivariate Adaptive Regression Splines (MARS [40]) are used to efficiently match descriptors around landmarks. This modified ASM is fast and performs well on frontal faces. The model is then extended to also handle …
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Identifying Robust SIFT Features for Improved Image Alignment
… the quality and reducing the number of SIFT features. We created an algorithm to identify robust SIFT features by evaluating how invariant individual feature points are to changes in scale. This allows us to exclude poor SIFT feature points from the matching process and obtain better …
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"Generalize and Sift" as a model of inflection acquisition
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2001.
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SIFT feature extraction on a Smartphone GPU using OpenGL ES2.0
SIFT describes local features in image used for object recognition in a vast array of application, such as augmented reality, panorama stitching. These applications are becoming very popular on Smartphones but also require considerable amount of computing power. GPUs offer a significant amount of …
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Hierarchical Error Detection in a Software Implemented Fault Tolerance (Sift) Environment
… is a Software Implemented Fault Tolerance (SIFT) middleware capable of providing adaptive fault tolerance in a COTS (components-off-the-shelf) environment with the capability to adapt to changing runtime requirements as well as changing application requirements. The thesis presents the …
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How Do You Sift Through Time? Concerto for Horn, Winds, and Percussion
How do you sift through time? is a concerto for horn, winds, and percussion. This conceptual piece muses on the omnipresence and intangibility of time, focusing on how human beings reckon with it. Exploring this concept in a horn concerto is a nod to Olivier Messiaen's "Appel interstellaire" …
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An analysis of SIFT object recognition with an emphasis on landmark detection
… landmark detection. I have built a system using SIFT object recognition and Locality-Sensitive Hashing to quickly and accurately detect landmarks with accuracies ranging from 85-95%. I have also compared PCA-SIFT, a newly developed feature descriptor, to SIFT, and have found that SIFT outperforms …
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Investigation on advanced image search techniques
… for color image search. Specifically, a new oRGB-SIFT descriptor, which integrates the oRGB color space and the Scale-Invariant Feature Transform (SIFT), is proposed for image search and classification. The oRGB-SIFT descriptor is further integrated with other color SIFT features to produce the …
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Evaluation of Flavor Variation in Swiss Cheese from Five Factories Using Selected Ion Flow Tube Mass Spectrometry (SIFT-MS), Descriptive Sensory Analysis, and Consumer Testing
… using selected ion flow tube-mass spectrometry (SIFT-MS), descriptive sensory analysis, and consumer sensory testing. Three Swiss cheese samples were obtained from each of five different factories for a total of fifteen samples. These cheeses varied in manufacturing dates, as well as the vat and …
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A Process Architecture and Runtime Environment for Dependable Distributed Applications
… configuration. Next, this thesis describes the SIFT environment constructed from ARMOR processes, including an in-depth case study in which the SIFT environment is used to protect spaceborne, scientific applications for the Jet Propulsion Laboratory (JPL). Error injection experiments validate …
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Human inspired pattern recognition via local invariant features
… approach to find optimal values for the SIFT parameters with respect to finding correct matches between images that vary in rotation and scale. The approach used the Taguchi L18 matrix to determine the optimal parameter set. The performance obtained from SIFT using the optimal solution …
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Estimating and interpreting shoe sole wear for forensic investigation
… are designed; first in the spatial domain using SIFT, an approach previously proven in shoemark classification, and subsequently using a novel ridge detection algorithm within the frequency domain. Finally, a highlevel, conceptual framework is presented for integrating computational techniques …
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Beyond pixels : exploring new representations and applications for motion analysis
… 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 image parsing by transferring the metadata information, …
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Ocular Biometrics: Human Recognition in Challenging Conditions
… an optimized scale invariant feature transform (SIFT) and a fusion method utilizing SIFT and Gabor filter encoding.
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LASSO-OPTIMAL SUPERSATURATED DESIGN AND ANALYSIS FOR FACTOR SCREENING IN SIMULATION EXPERIMENTS
… system, screening experiments are often used to sift through these factors to identify a subgroup of factors that most significantly influence the interested response.
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Building Detection Using a Hybrid Methodology Applied to High Spatial Resolution Aerial Photographs
… including: Scale-Invariant Feature Transform (SIFT) feature extraction, K-Means (KMs) clustering, Bag-of-Visual-Words (BOVW) representation, Support Vector Machine (SVM), and Efficient Subwindow Search (ESS) techniques. This method was originally applied in object detection on natural images by …
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Vision task driven image super-resolution and image enhancement
… We develop a Scale-Invariant Feature Transform (SIFT) detection task-driven dark image enhancement method that learns the difference of Gaussian (DoG) pyramid from dark image input directly, with a cascade network that re-uses the network weights learned at different scales. Simulation results …
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