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 14 of 14 for “"Landmark detection"”.
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Consonant landmark detection for speech recognition
This thesis focuses on the detection of abrupt acoustic discontinuities in the speech signal, which constitute landmarks for consonant sounds. Because a large amount of phonetic information is concentrated near acoustic discontinuities, more focused speech analysis and recognition can be performed …
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Landmark detection for distinctive feature-based speech recognition
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.
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Robust and reliable facial landmark detection under challenging conditions
Facial landmark detection is crucial technology for many downstream tasks, such as talking head, face editing, facial emotion recognition and face recognition. Despite the recent progress brought by deep learning, there are still many challenges in this field that render the robustness of …
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Acoustic landmark detection and segmentation using the McAulay-Quatieri Sinusoidal Model
The current method for phonetic landmark detection in the Spoken Language Systems Group at MIT is performed by SUMMIT, a segment-based speech recognition system. Under noisy conditions the system's segmentation algorithm has difficulty distinguishing between noise and speech components and often …
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An analysis of SIFT object recognition with an emphasis on landmark detection
… of feature-based object. recognition applied to 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 …
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Ultra-Wideband Radar Based Human Motion Analysis
… analysis. The first one is accurate human body landmark detection using UWB radars. The detection is achieved by moving target indication (MTI) and constant false alarm rate detection (CFAR). A new CFAR detection technique is proposed, namely the out-of-band (OB) CFAR detection. In the field …
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High resolution neural frontal face synthesis from face encodings using adversarial loss
… face synthesizer. For sub-tasks, we utilize face landmark detection and recognition modules, where curated datasets exist. In particular, the face recognition sub-task learns features strongly invariant to lighting, pose, and facial expression variations. Given the recognition feature, we leverage …
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3D facial performance capture from monocular RGB video.
… and proposes novel methods involving 2D landmark detection, 3D facial reconstruction and 3D performance tracking, which are validated through theoretical research and experimental studies. 3D facial performance tracking is a multidisciplinary problem involving many areas such as computer …
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Automatic Detection of Landmark Acoustic Cues in Human Speech
This study presents a framework for the automatic detection of the eight landmark acoustic cues in human speech. Landmarks are key articulatory events, produced as a result of minimal vocal tract constriction (e.g., vowels and glides) or closures and releases in the oral region (e.g., nasal, …
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Assessment of Frontal Cephalogram Tracing Accuracy Generated by CNNs and Machine Learning
… have shown promise in automating radiographic landmark identification, which can eliminate provider error and reduce chair time. This study evaluated the accuracy of landmark detection and diagnostic measurements on CBCT-derived frontal cephalograms using a novel AI program, DR ANNIE™ (Data …
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Vision-Aided Navigation for GPS-Denied Environments Using Landmark Feature Identification
… this thesis entails defining a set of inertial landmarks, the locations of which are known within the environment, and employing image processing algorithms to detect these landmarks in image frames collected from an onboard monocular camera. These vision-based landmark measurements effectively …
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Automated shape analysis and visualization of the human back.
… of the back surface and to detect the anatomic landmarks from the curvature maps. Compared with manual palpation, the landmarks have been detected to within accuracy of 1.15mm and precision of 0.8111m.Based on the detected spinous process landmarks, the back midline which is the closest surface …
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Computational methods for medical image registration
A significant amount of research has been dedicated to the improvement of techniques in the field of medical image analysis. Imaging modalities have been improved and new acquisition methods have been introduced to reveal greater anatomical detail and to allow for more information to be extracted …