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Article
Open AccessMotion-region annotation for complex videos via label propagation across occluders
Motion cue is pivotal in moving object analysis, which is the root for motion segmentation and detection. These preprocessing tasks are building blocks for several applications such as recognition, matching an...
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Chapter and Conference Paper
A Preliminary Study on Tree-Top Detection and Deep Learning Classification Using Drone Image Mosaics of Japanese Mixed Forests
Tree counting and classification tasks in forestry are often addressed by costly, in terms of labour and money, field surveys carried on manually by forestry experts. Consequently, computer vision techniques h...
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Article
GridDS: a hybrid data structure for residue computation in point set matching
Registration of 3D point clouds is a problem that arises in a variety of research areas such as computer vision, computer graphics and computational geometry. This situation causes most papers in the area to f...
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Chapter and Conference Paper
Hierarchical Hardware/Software Algorithm for Multi-view Object Reconstruction by 3D Point Clouds Matching
The Matching or Registration of 3D point clouds is a problem that arises in a variety of research areas with applications ranging from heritage reconstruction to quality control of precision parts in industria...
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Chapter and Conference Paper
Similarity Metrics for Intensity-Based Registration Using Breast Density Maps
Intensity-based registration algorithms have been widely used in medical image applications. This type of registration algorithms uses an object function to compute a transformation and optimizes a measure of ...
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Article
An efficient surface registration using smartphone
Gathering 3D object information from the multiple spatial viewpoints typically brings up the problem of surface registration. More precisely, registration is used to fuse 3D data originally acquired from diffe...
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Chapter and Conference Paper
A New Trajectory Based Motion Segmentation Benchmark Dataset (UdG-MS15)
Motion segmentation (MS) is an essential step in video analysis. Its quantitative and qualitative evaluation is largely dependent on the dataset used for testing. Although there are publicly available datasets...
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Article
Intensity Based Methods for Brain MRI Longitudinal Registration. A Study on Multiple Sclerosis Patients
Registration is a key step in many automatic brain Magnetic Resonance Imaging (MRI) applications. In this work we focus on longitudinal registration of brain MRI for Multiple Sclerosis (MS) patients. First of ...
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Article
A subtraction pipeline for automatic detection of new appearing multiple sclerosis lesions in longitudinal studies
Time-series analysis of magnetic resonance images (MRI) is of great value for multiple sclerosis (MS) diagnosis and follow-up. In this paper, we present an unsupervised subtraction approach which incorporates ...
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Chapter and Conference Paper
Comparison of Methods for Current-to-Prior Registration of Breast DCE-MRI
The use of prior studies to complement the information in Breast Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) can help to reduce the currently high false positive ratios. Registration is a fu...
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Chapter and Conference Paper
Detecting Abnormal Mammographic Cases in Temporal Studies Using Image Registration Features
Image registration is increasingly being used to help radiologists when comparing temporal mammograms for lesion detection and classification. This paper evaluates the use of image and deformation features ext...
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Chapter and Conference Paper
Demons Methods for Digital Mammography Registration
Image registration is regarded as an important tool for the analysis of temporal mammograms, specially for lesion detection. However, it has not been widely adopted due to the complexity of the problem and the...
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Chapter and Conference Paper
Noisy Road Network Matching
Let \(\mathcal{N}\) and \(\mathcal{M}\) be two...
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Chapter and Conference Paper
Efficient Colored Point Set Matching Under Noise
Let \(\mathcal{A}\) and \(\mathcal{B}\) be two...