Results 21 to 30 of about 469,057 (262)

Using Mean-Shift to Improve Active Shape Model Search

open access: yesJournal of Algorithms & Computational Technology, 2011
In this paper we introduce a new method for locating shapes. The method is based on active shape model, and combining with mean shift to improve local search in the region around each landmark.
Dai Wei, Wang Shi-Tong
doaj   +1 more source

Automatic Magnetic Resonance Image Prostate Segmentation Based on Adaptive Feature Learning Probability Boosting Tree Initialization and CNN-ASM Refinement

open access: yesIEEE Access, 2018
This paper proposes a method based on the active shape model (ASM) to segment the prostate in magnetic resonance (MR) images. Due to the great variability in appearance among different boundaries of the prostate and among subjects, the traditional ASM is
Baochun He   +3 more
doaj   +1 more source

Vibration control of semi-active suspension with MR damper by optimal preview control of MLD model.

open access: yesNihon Kikai Gakkai ronbunshu, 2022
Advances in image processing technology have made it possible to measure the surface shape of the road ahead while driving. We propose a new semi-active suspension control method considering the forward road surface shape. A vehicle model equipped with a
Kaoru SATO, Kazuhiko HIRAMOTO
doaj   +1 more source

Statistical shape theory for activity modeling [PDF]

open access: yes2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698), 2003
Monitoring activities in a certain region from video data is an important surveillance problem. The goal is to learn the pattern of normal activities and detect unusual ones by identifying activities that deviate appreciably from the typical ones. We propose an approach using statistical shape theory based on the shape model of D.G. Kendall et al. (see
Namrata Vaswani   +2 more
openaire   +1 more source

Automatic production of synthetic labelled OCT images using an active shape model

open access: yesIET Image Processing, 2020
Limited labelled data is a challenge in the field of medical imaging and the need for a large number of them is paramount for the training of machine learning algorithms, as well as measuring the performance of image processing algorithms. The purpose of
Hajar Danesh   +3 more
doaj   +1 more source

Active Shape Models-Their Training and Application

open access: yesComputer Vision and Image Understanding, 1995
Model-based vision is firmly established as a robust approach to recognizing and locating known rigid objects in the presence of noise, clutter, and occlusion. It is more problematic to apply model-based methods to images of objects whose appearance can vary, though a number of approaches based on the use of flexible templates have been proposed.
Timothy F. Cootes   +3 more
openaire   +1 more source

A weighting strategy for Active Shape Models [PDF]

open access: yes2017 IEEE International Conference on Image Processing (ICIP), 2017
Active Shape Models (ASM) are an iterative segmentation technique to find a landmark-based contour of an object. In each iteration, a least-squares fit of a plausible shape to some detected target landmarks is determined. Finding these targets is a critical step: some landmarks are more reliably detected than others, and some landmarks may not be ...
Alma Eguizabal, Peter J. Schreier
openaire   +2 more sources

Shape Degeneration and Multi-object Search Basing on Multi-shape Priors [PDF]

open access: yesInternational Journal of Computational Intelligence Systems, 2011
This paper proposed a framework of segmenting multiple targets basing on multiple shape priors. The key novel idea in the proposed framework is the shape degeneration model. By breaking the balance between the competition regions adaptively, the proposed
Song Chunhe   +3 more
doaj   +1 more source

Fractal Active Shape Models

open access: yes, 2007
Active Shape Models often require a considerable number of training samples and landmark points on each sample, in order to be efficient in practice. We introduce the Fractal Active Shape Models, an extension of Active Shape Models using fractal interpolation, in order to surmount these limitations.
Polychronis Manousopoulos   +2 more
openaire   +2 more sources

Active Modeling and Control for Shape Memory Alloy Actuators

open access: yesIEEE Access, 2019
In this paper, an active modeling and control scheme is developed for Shape Memory Alloy (SMA) actuators to eliminate the negative influences caused by the uncertainties in its dynamics.
Daohui Zhang   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy