Results 221 to 230 of about 48,274 (263)
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6th International Conference on Spoken Language Processing (ICSLP 2000), 1999
Landmark based speech processing is a component of Lexical Access From Features (LAFF), a novel paradigm for feature based speech recognition. Detection and classification of landmarks is a crucial first step in a LAFF system. Vowel landmarks are detected using an existing syllabic segmentation algorithm with several novel extensions that incorporate ...
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Landmark based speech processing is a component of Lexical Access From Features (LAFF), a novel paradigm for feature based speech recognition. Detection and classification of landmarks is a crucial first step in a LAFF system. Vowel landmarks are detected using an existing syllabic segmentation algorithm with several novel extensions that incorporate ...
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Landmark Detection for Docking Tasks
2017For docking manoeuvres, the detection of the objects to dock needs to be precise as the minimum deviation from the objective may lead to the failure of this task. The objective of this article is to test possible ways to detect a landmark using a laser rangefinder for docking manoeuvres.
Francisco Ferreira 0005 +3 more
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A comparison of facial landmark detection methods
2018 26th Signal Processing and Communications Applications Conference (SIU), 2018Face analysis is a rapidly developing research area and facial landmark detection is one of the pre-processing steps. In recent years, many algorithms and comprehensive survey/ challenge papers have been published on facial landmark detection. In this work, we analysed six survey/challenge papers and observed that among open source systems deep ...
Esra Nur Sandikçi +2 more
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Robust Automatic Multiple Landmark Detection
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 2020Reinforcement learning (RL) has proven to be a powerful tool for automatic single landmark detection in 3D medical images. In this work, we extend RL-based single landmark detection to detect multiple landmarks simultaneously in the presence of missing data in the form of defaced 3D head MR images.
Arjit Jain +2 more
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Detection of Rectangular Landmarks
2008In this paprer a method of automated detection of rectangular landmarks is presented. A landmark can be found if it has a monochromatic and characteristic color. The landmark doesn’t need to be visible as a whole, it can be partially obstructed by other objects.
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Privacy Preserving Landmark Detection
2014In many cases several entities, such as commercial companies, need to work together towards the achievement of joint goals, while hiding certain private information. Multi-agent STRIPS (MA-STRIPS) is a new and attractive model for describing collaborative multi-agent privacy preserving planning, which is appropriate for such problems.
Shlomi Maliah, Guy Shani, Roni Stern
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Dogface Detection and Localization of Dogface’s Landmarks
2018The paper deals with an approach for a reliable dogface detection in an image using the convolutional neural networks. Two detectors were trained on a dataset containing 8351 real-world images of different dog breeds. The first detector achieved the average precision equal to 0.79 while running real-time on single CPU, the second one achieved the ...
Alzbeta Vlachynska +2 more
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Category-Aware Aircraft Landmark Detection
IEEE Signal Processing Letters, 2021Aircraft landmark detection (ALD) aims at detecting the keypoints of aircraft, which can serve as an important role for subsequent applications such as fine-grained aircraft recognition. In ALD, the physical size discrepancy between different kinds of aircraft may lead to inconsistent landmark structure, which significantly harms landmark detection ...
Yi Li 0033 +5 more
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Facial landmark detection in uncontrolled conditions
2011 International Joint Conference on Biometrics (IJCB), 2011Facial landmark detection is a fundamental step for many tasks in computer vision such as expression recognition and face alignment. In this paper, we focus on the detection of landmarks under realistic scenarios that include pose, illumination and expression challenges as well as blur and low-resolution input.
Boris A. Efraty +3 more
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2013
We present a landmark detection method that detects a large number of anatomical structures efficiently in a medical image. The method consists of two steps. The first step performs nearest neighbor matching, which exploits holistic image context to quickly obtain coarse estimates of landmark positions.
David Liu, S. Kevin Zhou
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We present a landmark detection method that detects a large number of anatomical structures efficiently in a medical image. The method consists of two steps. The first step performs nearest neighbor matching, which exploits holistic image context to quickly obtain coarse estimates of landmark positions.
David Liu, S. Kevin Zhou
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