OBJECTIVE To describe a statistical method of three-dimensional landmark configuration data and apply it to an orthodontic data set comparing two types of rapid maxillary expansion (RME) treatments. MATERIALS AND METHODS Landmark configurations obtained from cone beam CT scans were used to represent patients in two types (please describe what were two types) of RME groups and a control group ...

In this study, we proposed a multitask network architecture for three attributes, landmark, head pose, and occlusion, from face image. A 2-stacked hourglass with task-specific heads is the architecture. We also designed auxiliary components network. First feature pyramid fusion module, which plays crucial role in facilitating contextual information various receptive fields. Second interlevel oc...

Several efforts have been made to completely automate cephalometric analysis by automatic landmark search. However, accuracy obtained was worse than manual identification in every study. The analogue-to-digital conversion of X-ray has been claimed to be the main problem. Therefore the aim of this investigation was to evaluate the accuracy of the Cellular Neural Networks approach for automatic l...

Landmark articles from the peer-reviewed literature can be used to teach the fundamental principles of geriatric medicine. Three approaches were used in sequential combination to identify landmark articles as a resource for geriatricians and other healthcare practitioners. Candidate articles were identified first through a literature review and expert opinion survey of geriatric medicine facult...

7-140. nts perceive in Abstract. Route directions are instructions, primarily verbal, that explain how to get from one place to another. The current study examines several methods for assessing the quality of verbal route directions by characterizing them in terms of the number of elements (such as landmarks, segments or turns) and by subjective ratings of their goodness. Route directions for r...

Recovering the shape of a class of objects requires establishing correct correspondences between manually or automatically annotated landmark points. In this study, we utilise a novel approach to automatically recover the shape of hand outlines from a series of 2D training images. Automated landmark extraction is accomplished through the use of the self-organising model the growing neural gas (...

We present a simple artificial landmark model and a robust landmark tracking algorithm for mobile robot localization. The landmark model, consisting of symmetric and repetitive color patches, produces color histograms that are invariant under the geometric and photometric distortions. A stochastic approach based on the CONDENSATION tracks the landmark model robustly even under the varying illum...