Results 251 to 260 of about 573,105 (295)

Statistical shape models of plant leaves

2013 IEEE International Conference on Image Processing, 2013
The shapes of plant leaves are of great importance to plant biologists and botanists, as they can help in distinguishing plant species, measuring their health, analyzing their growth patterns, and understanding relations between various species. We propose a statistical model that uses the Squared Root Velocity Function representation and a Riemannian ...
Hamid Laga, Sebastian Kurtek, Anuj Srivastava, Stanley J. Miklavcic   +3 more
openaire   +1 more source

Measurement error in statistical models of shape

Computer Methods and Programs in Biomedicine, 2011
Active shape models (ASMs) are popular and sophisticated methods of extracting features in (especially medical) images. Here we analyse the error in placing ASM points on the boundary of the feature. By using replications, a corrected covariance matrix is presented that should reduce the effects of placement error.
Damian J. J. Farnell, Andrew Pickles, Christopher Roberts   +2 more
openaire   +3 more sources

Reparameterising 3D Statistical Shape Models

2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019
3D statistical shape models are widely used in modelling 3D shapes such as human faces and bodies. The limitation of such model is that, once built, the model can only represent 3D shape instances of a fixed mesh topology. While some applications may require a shape model of a different mesh topology, the model building pipeline has to be repeated with
Haoyang Wang 0002, Stefanos Zafeiriou
openaire   +1 more source

Building a statistical shape model of the pelvis

International Congress Series, 2004
Abstract Statistical shape models of anatomical structures such as bones can simplify and improve 3D segmentation and the registration to sparse and noisy input data. In this paper, a novel surface-based technique to generate statistical shape models from segmented CT data sets is presented.
Sebastian Meller, Willi A. Kalender
openaire   +1 more source

Statistical shape and appearance models of bones

Bone, 2014
When applied to bones, statistical shape models (SSM) and statistical appearance models (SAM) respectively describe the mean shape and mean density distribution of bones within a certain population as well as the main modes of variations of shape and density distribution from their mean values.
Nazli, Sarkalkan, Harrie, Weinans, Amir A, Zadpoor   +2 more
openaire   +2 more sources

A Locally Deformable Statistical Shape Model

2011
Statistical shape models are one of the most powerful methods in medical image segmentation problems. However, if the task is to segment complex structures, they are often too constrained to capture the full amount of anatomical variation. This is due to the fact that the number of training samples is limited in general, because generating hand ...
Carsten Last, Simon Winkelbach, Friedrich M. Wahl, Klaus W. G. Eichhorn, Friedrich Bootz   +4 more
openaire   +1 more source

Design of a statistical model of brain shape

1997
This paper describes a statistical shape model of the brain extending through the whole organ. The variability in a normal population is described by global deformation modes. The model is based on the analysis of homologous deformations mapping similar structures in brain images.
Lionel Le Briquer, James C. Gee
openaire   +1 more source

Multi-resolution Statistical Shape Models for Multi-organ Shape Modelling

2020
Statistical shape models (SSMs) are widely used in medical image segmentation. However, traditional SSM methods suffer from the High-Dimension-Low-Sample-Size (HDLSS) problem in modelling. In this work, we extend the state-of-the-art multi-resolution SSM approach from two dimension (2D) to three dimension (3D) and from single organ to multiple organs ...
Zhonghua Chen, Tapani Ristaniemi, Fengyu Cong, Hongkai Wang 0002   +3 more
openaire   +2 more sources

An Information Theoretic Approach to Statistical Shape Modelling

Procedings of the British Machine Vision Conference 2001, 2001
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspondences across a training set of segmented shapes. By posing the problem as one of minimising the description length of the model, we develop an efficient method that ...
Davies, R, Cootes, TF; id_orcid 0000-0002-2695-9063, Twining, CJ, Taylor, CJ.   +3 more
openaire   +2 more sources

MULTI-OBJECT STATISTICAL POSE+SHAPE MODELS

2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Region of interest (ROI) analysis is a very common procedure for morphometry studies of brain structures, where each structure is usually isolated from the rest of the brain and aligned to a reference shape. In the alignment process all pose information is disregarded. However, considering the brain as a multi-object system formed by several structures,
Matías N. Bossa, Salvador Olmos
openaire   +2 more sources