Showing 1-25 of 4,204 resultsfor "Index Terms":Similar Shape
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A novel framework for exploratory analysis of highly variable morphology of migrating epithelial cells
Samuel D. R. Jefferyes;David B. A. Epstein;Anne Straube;Nasir M. Rajpoot
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Year: 2013 | Conference Paper |
Migratory cells, for example human retinal epithelial (RPE) cells, exhibit highly variable morphology. This makes it difficult to use traditional methods, such as the landmark based Procrustes analysis or feature based analysis, to quantitatively represent their shapes. We propose a novel framework to generate a low-dimensional representation of highly variable cell shapes. The framework lends its...Show More
3D shape representations are essential when storing shape information for natural and manmade objects. To make use of shape information, many applications require shape-processing functionality, such as for search, annotation, classification, modeling, restoration, or collection exploration. This article discusses feature-based approaches and how they can support such functionality.Show More
Statistical shape analysis: clustering, learning, and testing
Using a differential-geometric treatment of planar shapes, we present tools for: 1) hierarchical clustering of imaged objects according to the shapes of their boundaries, 2) learning of probability models for clusters of shapes, and 3) testing of newly observed shapes under competing probability models. Clustering at any level of hierarchy is performed using a minimum variance type criterion and a...Show More
The challenge in designing new three-dimensional (3D) shapes is that considerable manual effort is required for repeated designing and verification to satisfy the required specifications. Extracting and standardizing parametric design rules from a designed 3D shape dataset will be useful for drastically reducing the design time. This paper describes a framework of automatically generating parametr...Show More
3D Shape Retrieval using Bag of Word Approaches
Suhail Ahmed Memon;Faheem Akthar;Tariq Mahmood;Muhammad Azeem;Zeeshan Shaukat
2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
Year: 2019 | Conference Paper |
Cited by: Papers (5)
After document and image retrieval, shape retrieval is seen as the next step in the search process. Numerous techniques have been proposed to retrieve shapes meta-data considering shapes similarity but these techniques normally suffer from non-interactive running times. A widely used approach, which has its origins in document retrieval, and is successfully been applied for image retrieval, is bas...Show More
SaCoseg: Object Cosegmentation by Shape Conformability
In this paper, an object cosegmentation method based on shape conformability is proposed. Different from the previous object cosegmentation methods which are based on the region feature similarity of the common objects in image set, our proposed SaCoseg cosegmentation algorithm focuses on the shape consistency of the foreground objects in image set. In the proposed method, given an image set where...Show More
Relative Angle Measurements Based Shape-Similar Formation for Mobile Robots with Input Time-Delay
2020 39th Chinese Control Conference (CCC)
Year: 2020 | Conference Paper |
This paper focuses on the infinitesimally shape-similar formation problem for a group of robots subject to input time delay. We assume that each robot is only equipped with bearing sensors. For the implementation of infinitesimally shape- similar motion, the shape-similarity matrix (SSM) is introduced by using bearing angle measurement (BAM). It is shown that the SSM only can maintain the angle-co...Show More
A Shape-Based Similarity Calculation Method for Cost Estimation of Large Forged Steel Products
Shunga Matsuo;Satoshi Kondo;Yusuke Imamura;Kenji Takase;Shinya Watanabe
This study aims to estimate the cost of large forged steel products by calculating similarity through both shape and numerical factors, such as weight, maximum horizontal length, and maximum diameter. The estimation process intends to simulate expert judgment about manufacturing and fabrication cost similarity, rather than relying solely on geometric and numerical data. We propose an original appr...Show More
Shape feature analysis for different shape detection of computer sketch
2018 International Workshop on Advanced Image Technology (IWAIT)
Year: 2018 | Conference Paper |
Cited by: Papers (1)
Shape feature analysis is one of well-known research topics in image processing and can be implemented in many fields. This paper proposes a method to find a shape which is different from the other shapes of computer sketch. First, the input image will be preprocessed, such as gray scaling and blurring. After that, edges are detected using Canny algorithm and contours of the image are traced. From...Show More
A novel post-processing method, online to offline (O2O), to improve the efficiency of shape retrieval is proposed in this paper. The essence of this proposed method is to move more work that requires a lot of computation to offline. Based on this approach, the O2O rerank the retrieval result online with the help of the offline analysis. The result of offline analysis can be reused indefinitely, re...Show More
Leaf classification using marginalized shape context and shape+texture dual-path deep convolutional neural network
2017 IEEE International Conference on Image Processing (ICIP)
Year: 2017 | Conference Paper |
Cited by: Papers (28)
Identifying plant species based on photographs of their leaves is an important problem in computer vision and biology. Previous approaches for leaf image classification typically rely on hand-crafted shape features or texture features. In contrast, we propose a dual-path deep convolutional neural network (CNN) to (i) learn joint feature representations for leaf images, exploiting their shape and t...Show More
Chord Bunch Walks for Recognizing Naturally Self-Overlapped and Compound Leaves
Bin Wang;Yongsheng Gao;Changming Sun;Michael Blumenstein;John La Salle
Effectively describing and recognizing leaf shapes under arbitrary variations, particularly from a large database, remains an unsolved problem. In this research, we attempted a new strategy of describing leaf shapes by walking and measuring along a bunch of chords that pass through the shape. A novel chord bunch walks (CBW) descriptor is developed through the chord walking behavior that effectivel...Show More
Learning Context-Sensitive Shape Similarity by Graph Transduction
Xiang Bai;Xingwei Yang;Longin Jan Latecki;Wenyu Liu;Zhuowen Tu
Shape similarity and shape retrieval are very important topics in computer vision. The recent progress in this domain has been mostly driven by designing smart shape descriptors for providing better similarity measure between pairs of shapes. In this paper, we provide a new perspective to this problem by considering the existing shapes as a group, and study their similarity measures to the query s...Show More
Hierarchical String Cuts: A Translation, Rotation, Scale, and Mirror Invariant Descriptor for Fast Shape Retrieval
This paper presents a novel approach for both fast and accurately retrieving similar shapes. A hierarchical string cuts (HSCs) method is proposed to partition a shape into multiple level curve segments of different lengths from a point moving around the contour to describe the shape gradually and completely from the global information to the finest details. At each hierarchical level, the curve se...Show More
A method for aligning trans-tibial residual limb shapes so as to identify regions of shape change
Quantification of the change in shape of a residual limb over time is relevant to the fitting of an external prosthesis. Three algorithms were developed and evaluated to align residual limb shapes: iterative closest points (ICP), mean absolute difference, and weighted surface normals/mean absolute difference. Evaluations were conducted by aligning residual limb shapes with known deformations and t...Show More
Minkowski compactness measure
2013 13th UK Workshop on Computational Intelligence (UKCI)
Year: 2013 | Conference Paper |
Cited by: Papers (1)
Many compactness measures are available in the literature. In this paper we present a generalised compactness measure Cq(S) which unifies previously existing definitions of compactness. The new measure is based on Minkowski distances and incorporates a parameter q which modifies the behaviour of the compactness measure. Different shapes are considered to be most compact depending on the value of q...Show More
Projection onto a Shape Manifold for Image Segmentation with Prior
2007 IEEE International Conference on Image Processing
Year: 2007 | Conference Paper |
Cited by: Papers (10)
Image segmentation with shape priors has received a lot of attention over the past years. Most existing work focuses on a linearized shape space with small deformation modes around a mean shape, which is relevant only when considering similar shapes. In this paper, we introduce a new framework that can handle more general shape priors. We model a category of shapes as a finite dimensional manifold...Show More
Sketch-Based Shape Retrieval via Multi-view Attention and Generalized Similarity
2018 7th International Conference on Digital Home (ICDH)
Year: 2018 | Conference Paper |
Cited by: Papers (5)
Sketch-based shape retrieval has received increasing attention in computer vision and computer graphics. It suffers from the challenge gap between 2D sketches and 3D shapes. In this paper, we propose a generalized similarity matching framework based on a multi-view attention network (MVAN), which can retrieve 3D shape that is most similar to the query sketch. In proposed approach, firstly we compu...Show More
Combining Shape and Color for Retrieval of 3D Models
Conrado R. Ruiz Jr;Rafael Cabredo;Levi Jones Monteverde;Zhiyoung Huang
2009 Fifth International Joint Conference on INC, IMS and IDC
Year: 2009 | Conference Paper |
Cited by: Papers (4)
Current research on the retrieval systems for 3Dmodels focuses on using the shape of the models to facilitate search and retrieval. This paper explores the possibility of augmenting the existing 3D shape-based similarity measures by combining shape and color. First, a new descriptor was developed based on the D2 shape descriptor. In our method, Npairs of faces are randomly chosen from a 3D model, ...Show More
Graph-based shape matching for deformable objects
2011 18th IEEE International Conference on Image Processing
Year: 2011 | Conference Paper |
In this paper, we propose a graph-based shape matching method for deformable objects. In our approach, a graph is generated from an over-segmented input image, and the shape matching problem is treated as finding an optimal cycle in the graph. Given a shape template and a graph generated from the input, a product graph is generated to consider every possible correspondence between graph edges and ...Show More
Document Image Retrieval through Word Shape Coding
This paper presents a document retrieval technique that is capable of searching document images without optical character recognition (OCR). The proposed technique retrieves document images by a new word shape coding scheme, which captures the document content through annotating each word image by a word shape code. In particular, we annotate word images by using a set of topological shape feature...Show More
Shape-based ct lung nodule segmentation using five-dimensional mean shift clustering and MEM with shape information
Xujiong Ye;Musib Siddique;Abdel Douiri;Gareth Beddoe;Greg Slabaugh
2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Year: 2009 | Conference Paper |
Cited by: Patents (1)
This paper presents a joint spatial-intensity-shape (JSIS) feature-based method for the segmentation of CT lung nodules. First, a volumetric shape index (SI) feature based on the second-order partial derivatives of the CT image is calculated. Next, the SI feature is combined with spatial and intensity features to form a five-dimensional feature vectors, which are then clustered using mean shift to...Show More
Fast shape matching and retrieval with dynamic angular partition descriptor
2017 IEEE International Conference on Imaging Systems and Techniques (IST)
Year: 2017 | Conference Paper |
Shape matching and retrieval are fundamental topics in image processing area. With the rapid growing number of images, fast speed in shape matching is necessary, but most methods focus on the retrieval accuracy. In this article, we propose a dynamic angular partition descriptor (DAPD) based on the statistical distribution of the shape contour points, which is scale invariant inherently. DAPD has l...Show More
A Global Feature for Non-Rigid 3D Shape Retrieval with Shape Similarity
2014 IEEE International Conference on Computer and Information Technology
Year: 2014 | Conference Paper |
In the area of 3D shape retrieval, research about how to compare faster and more accurate is an important topic. 3D shape retrieval can be used in computer-aided design, video games, advertising and many other fields. This article proposes an enhanced 3D shape retrieval feature named 'parted Angle-Distance histogram (pAD) ', which is (1) robust over isometric deformations, (2) tolerant of topologi...Show More
Target-oriented shape modeling with structure constraint for image segmentation
The First Asian Conference on Pattern Recognition
Year: 2011 | Conference Paper |
Image segmentation plays a critical role in medical imaging applications, whereas it is still a challenging problem due to the complex shapes and complicated texture of structures in medical images. Model based methods have been widely used for medical image segmentation as a priori knowledge can be incorporated. Accurate shape prior estimation is one of the major factors affecting the accuracy of...Show More
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