Results 1 to 10 of about 348,539 (265)
Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images [PDF]
Journal of Imaging, 2022 Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate cancer. However, manual three-dimensional (3D) segmentation of the prostate is a laborious and time-consuming task.
Massimo Salvi +7 more
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Robust Initialization of Active Shape Models for Lung Segmentation in CT Scans: A Feature-Based Atlas Approach [PDF]
International Journal of Biomedical Imaging, 2014 Model-based segmentation methods have the advantage of incorporating a priori shape information into the segmentation process but suffer from the drawback that the model must be initialized sufficiently close to the target.
Gurman Gill +2 more
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Bimodal Active Shape Models for Cervical Vertebrae and Spinal Canal Boundary Extraction
Engineering Proceedings, 2023 Cervical spine pathologies often stem from deformations of the intervertebral discs and spinal canal. This work introduces a computational method for boundary extraction of these structures.
Meletios Liaskos +3 more
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Pedestrian Localization in a Video Sequence Using Motion Detection and Active Shape Models
Applied Sciences, 2022 There is increasing interest in video object detection for many situations, such as industrial processes, surveillance systems, and nature exploration. In this work, we were concerned with the detection of pedestrians in video sequences.
Juan Alberto Antonio Velázquez +5 more
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Active Shape Models and the Shape Approximation Problem. [PDF]
Procedings of the British Machine Vision Conference 1995, 1995 Active Shape Models (ASM) use an iterative algorithm to match statistically defined models of known but variable objects to instances in images. Each iteration of ASM search involves two steps: image data interrogation and shape approximation. Here we consider the shape approximation step in detail.
Andrew Hill +2 more
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Active Shape Models — ‘Smart Snakes’ [PDF]
Procedings of the British Machine Vision Conference 1992, 1992 We describe ‘Active Shape Models’ which iteratively adapt to refine estimates of the pose, scale and shape of models of image objects. The method uses flexible models derived from sets of training examples. These models, known as Point Distribution Models, represent objects as sets of labelled points.
Cootes, TF, Taylor, Christopher
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Application of an actuator made of a material with a shape memory effect for a transformable space structure [PDF]
MATEC Web of Conferences, 2022 Increase in the operational functionality of space technology leads to the necessity of creating large-sized transformable systems. The development of adequate models which are used in computational experiments to simulate the opening of transformable ...
Zimin Vladimir +3 more
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Boosted Regression Active Shape Models [PDF]
Procedings of the British Machine Vision Conference 2007, 2007 We present an efficient method of fitting a set of local feature models to an image within the popular Active Shape Model (ASM) framework [3]. We compare two different types of non-linear boosted feature models trained using GentleBoost [9]. The first type is a conventional feature detector classifier, which learns a discrimination function between the
David Cristinacce, Timothy F. Cootes
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A NOVEL 3D CITY MODELLING APPROACH FOR SATELLITE STEREO DATA USING 3D ACTIVE SHAPE MODELS ON DSMS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Since remote sensing provides new sensors and techniques to accumulate stereo data on urban regions, three-dimensional (3D) repre- sentation of these regions gained much interest for various applications. 3D urban region representation can e.g.
B. Sirmacek, H. Taubenboeck, P. Reinartz
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Physics-aware differentiable design of magnetically actuated kirigami for shape morphing
Nature Communications, 2023 Shape morphing that transforms morphologies in response to stimuli is crucial for future multifunctional systems. While kirigami holds great promise in enhancing shape-morphing, existing designs primarily focus on kinematics and overlook the underlying ...
Liwei Wang +4 more
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