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Weed Classification by Active Shape Models
Biosystems Engineering, 2005The objective is to present a new method for classification of weed species by image processing based on active shape models. Young weed seedlings with up to two true leaves and without mutual overlapping with other leaves are to be identified. A database containing image examples of 19 of the most important weed species in Danish agricultural fields ...
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Discriminative Bayesian Active Shape Models
2012This work presents a simple and very efficient solution to align facial parts in unseen images. Our solution relies on a Point Distribution Model (PDM) face model and a set of discriminant local detectors, one for each facial landmark. The patch responses can be embedded into a Bayesian inference problem, where the posterior distribution of the global ...
Pedro Martins 0004 +3 more
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Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010Our goal is to develop statistical models for the shape change of a configuration of "landmark" points (key points of interest) over time and to use these models for filtering and tracking to automatically extract landmarks, synthesis, and change detection.
Samarjit Das, Namrata Vaswani
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Robust Active Shape Model Search
2002Active shape models (ASMs) have been shown to be a powerful tool to aid the interpretation of images. ASM model parameter estimation is based on the assumption that residuals between model fit and data have a Gaussian distribution. However, in many real applications, specifically those found in the area of medical image analysis, this assumption may be
Mike Rogers, Jim Graham
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Initialization and Pose Alignment in Active Shape Model
2010 20th International Conference on Pattern Recognition, 2010In this paper, we propose a new algorithm for shape initialization and 3D pose alignment in Active Shape Model (ASM). Instead of initializing with average shape in previous works, we build a scatter data interpolation model from key points to obtain the initial shape, which ensures shape initialized around face organs.
Pengfei Xiong +2 more
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Accurate active shape model for face alignment
17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005In this paper, we proposed three improvements on the traditional active shape models, which make the active shape models execute more accurate for face alignment. These improvements including: group method for avoiding to create a distorted shape; best direction and extended width for search profile; enhanced edge profile for special landmark points on
Huchuan Lu, Wengang Shi
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An active contour model with shape regulation scheme
Advanced Robotics, 2000This paper presents an active method for locating target objects in images, which is aimed at improving the performance of detecting object boundaries by enhancing the behavioral characteristics of an active contour. The proposed active contour model simulates a mechanical system consisting of two main parts: the first is a rigid fixture, called the ...
J.S.kim +2 more
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An improved active shape model for face alignment
Proceedings. Fourth IEEE International Conference on Multimodal Interfaces, 2002In this paper, we present several improvements on the conventional Active Shape Models (ASM) for face alignment. Despite the accuracy and robustness of the ASMs in the image alignment, its performance depends heavily on the initial parameters of the shape model, aswell as the local texture model for each landmark and the corresponding local matching ...
Wei Wang 0016 +4 more
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Active Shape and Appearance Models
2015Statistical models of shape and appearance are powerful tools for medical image analysis. The shape models can capture the mean and variation in shape of a structure or set of structures across a population. They can be used to help interpret new images by finding the parameters which best match an instance of the model to the image.
T. F. Cootes +3 more
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Combination of Local Invariants with an Active Shape Model
2008 International Conference on BioMedical Engineering and Informatics, 2008In this paper, a novel local invariant model based on scale invariant feature transform (SIFT) features is presented to accurately obtain and locate the local features of an image. After the local features of each image in the training set are extracted by the SIFT, we eliminate the unsteady factors in term of statistical results of all the SIFT ...
Jianhua Zhang 0002, Shengyong Chen
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