Titlebook: Image Analysis; 19th Scandinavian Co Rasmus R. Paulsen,Kim S. Pedersen Conference proceedings 2015 Springer Nature Switzerland AG 2015 3D v

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Computer Vision for Head Pose Estimation: Review of a Competitiono predict the yaw and pitch angles of an image dataset with 2790 samples with known angles. The competition received 292 entries from 52 participants, the best ones clearly exceeding the state-of-the-art accuracy. In this paper, we present the key methodologies behind selected top methods, summarize

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3D Point Representation For Pose Estimation: Accelerated SIFT vs ORB In this context we design a simple experimental framework to compare the performances of different descriptors for realtime recognition of 3D points in a given environment. We use this framework to show that robust descriptors like SIFT perform far better when compared to fast binary descriptors li

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überatlas: Robust Speed-Up of Feature-Based Registration and Multi-Atlas Segmentationthods, but such methods tend to be slow, which sets practical limitations on the size of the atlas set. In this paper, a novel feature-based registration method for affine registration is presented. The algorithm constructs an abstract representation of the entire atlas set, an überatlas, through cl

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Classification of Alzheimer’s Disease from MRI Using Sulcal Morphology neuroanatomical changes in the brain, some of which can be difficult to distinguish from the alterations caused by normal aging. Sulcal morphology is affected by AD atrophy, indicates significant differences between cognitively normal (CN) and AD subjects, and proves to be a potential AD biomarker.

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Coloring Channel Representations for Visual Trackingng due to several factors, such as illumination variation, occlusions, camera motion and appearance changes. Such problems can be alleviated by constructing robust, discriminative and computationally efficient visual features. Recently, biologically-inspired channel representations [.] have shown to

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High-Speed Hand Tracking for Studying Human-Computer Interactionse of touch and gesture based interfaces, the main interest is in the characterization of hand movements. The recent developments in imaging technology and computing hardware have made it attractive to exploit high-speed imaging for tracking the?hand more accurately both in space and time. However,

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Heartbeat Signal from Facial Video for Biometric Recognitionn identity recognition. Recent advances in facial video based measurement of cardio-physiological parameters such as heartbeat rate, respiratory rate, and blood volume pressure provide the possibility of extracting heartbeat signal from facial video instead of using obtrusive ECG or PCG sensors in t

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