Results 141 to 150 of about 2,912,057 (185)
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Detecting Fashion Apparels and their Landmarks
2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT), 2020Apparel landmarks are the functional key-points on the apparels that can be used for a more discriminative visual analysis of the apparel images. Such a framework can facilitate apparel alignment in displaying apparel images on the websites for recommendation systems, apparel image retrieval, apparel style transfer, trend analysis or help build a ...
Himani Saini +3 more
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Simultaneous Registration and Landmark Detection
2006 International Conference of the IEEE Engineering in Medicine and Biology Society, 2006We are developing a system for patient management in colorectal cancer, in which a difficult case of non-rigid registration, namely of pre- and post-therapy images, arises. Numerous non-rigid registration algorithms have been proposed in medical image analysis, and we have applied several leading algorithms to our non-rigid registration problem; but ...
Sarah L. Bond, Michael Brady 0001
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Facial component-landmark detection
Face and Gesture 2011, 2011Landmark detection has proven to be a very challenging task in biometrics. In this paper, we address the task of facial component-landmark detection. By “component” we refer to a rectangular subregion of the face, containing an anatomical component (e.g., “eye”). We present a fully-automated system for facial component-landmark detection based on multi-
Boris A. Efraty +4 more
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Robust detection of sonorant landmarks
Interspeech 2005, 2005A sonorant detection scheme using Mel-frequency cepstral coefficients and support vector machines (SVMs) is presented and tested in a variety of noise conditions. Adapting the classifier threshold using an estimate of the noise level is used to bias the classifier to effectively compensate for mismatched training and testing conditions.
Ken Schutte, James R. Glass
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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 review on cephalometric landmark detection techniques
Biomedical Signal Processing and Control, 2021Abstract Landmark identification is crucial in quantifying cephalometric analysis. Manual tracing of landmarks is a tedious, laborious task and prone to human errors, thereby, necessitating a need to develop efficient automated methods for landmark identification.
Mamta Juneja +8 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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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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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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