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Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs
2016
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
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In this paper, a novel generic framework has been designed, developed and validated for addressing simultaneously the tasks of image registration, segmentation and change detection from multisensor, multiresolution ...
of segmentation likelihoods (various classification approaches can be employed). ...
ACKNOWLEDGMENTS The authors would like to thank Deimos Imaging for acquiring and providing the data used in this study, and the IEEE GRSS Image Analysis and Data Fusion Technical Committee. 6. ...
doi:10.1109/igarss.2016.7729469
dblp:conf/igarss/VakalopoulouPPP16
fatcat:eoxxfwkrlfgp7ohxsjekfpr5li
(Hyper)-graphical models in biomedical image analysis
2016
Medical Image Analysis
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This is mostly due the development of efficient learning and inference algorithms which allow better and richer modeling of image and visual understanding tasks. ...
In this paper, we briefly introduce the importance of such representations, discuss their strength and limitations, provide appropriate strategies for their inference and present their application to address ...
The authors are grateful to former and current collaborators who have contributed to the works presented in this papers. ...
doi:10.1016/j.media.2016.06.028
pmid:27377331
fatcat:f2jy24hynva2fgjfyvrcmfs6e4
Author Index
2010
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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Gevers, Theo
3D Scene Priors for Road Detection
Gherardi, Riccardo
Improving the Efficiency of Hierarchical Structure-and-Motion
Ghosh, Pratim
Generalized Simultaneous Registration and Segmentation ...
Furukawa, Ryo
Workshop: One-shot Scanning Method using an Uncalibrated Projector and Camera System
Furukawa, Yasutaka
Towards Internet-scale Multi-view Stereo
Fusiello, Andrea
Improving the Efficiency ...
doi:10.1109/cvpr.2010.5539913
fatcat:y6m5knstrzfyfin6jzusc42p54
A Novel Multi-task Deep Learning Model for Skin Lesion Segmentation and Classification
[article]
2017
arXiv
pre-print
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Melanoma Detection, which consists of 2000 training samples and 150 evaluation samples. ...
., lesion segmentation and two independent binary lesion classifications) at the same time by exploiting commonalities and differences across tasks. ...
METHODOLODY In this section, the multi-task DCNN model for simultaneous segmentation and classification of skin lesion will be described. ...
arXiv:1703.01025v1
fatcat:sth5akf2hzfp5eopainabkvxsu
Towards Model-Independent Mode Detection and Characterisation of Very Long Biomedical Time Series
[chapter]
2004
Applications and Science in Soft Computing
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A novel, model independent and computationally efficient method is therefore proposed which simultaneously detects modes within the signal and conveys information regarding the complexity required to properly ...
To this cause, common approaches include mixtures of experts and incorporate the segmentation and a notion of prediction, therefore still facing the problem of model order selection. ...
A novel, model independent and computationally efficient method is therefore proposed which simultaneously detects modes within the signal and conveys information regarding the complexity required to properly ...
doi:10.1007/978-3-540-45240-9_29
fatcat:zb3igmra5naudoioqpgqjqdwfm
DETECTION OF TEXTURE-LESS OBJECTS BY LINE-BASED APPROACH
2020
Facta Universitatis Series Automatic Control and Robotics
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The descriptor is integrated into efficient object detection procedure which exploits the fact that the line segment determines scale, orientation and position of an object, by its two endpoints. ...
database, and c) computational efficiency – it runs in near real-time. ...
The dataset contains 9 textureless objects, and 55 query images with moderate clutter and occlusions. We were detecting all 9 objects simultaneously in each scene. ...
doi:10.22190/fuacr1902079c
fatcat:43kw5immt5fwflvajvqq6nl6h4
Advanced Computer Vision Approaches in Biomedical Image Analysis
2014
Computational and Mathematical Methods in Medicine
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Three papers address the important aspect of segmentation in medical images, two papers deal with automated detection, and three others propose theoretical and computational or hardware solutions for encountered ...
A paper identifies and analyzes the artifacts produced by the simultaneous use of two probes of different or equal operating frequencies. ...
A paper identifies and analyzes the artifacts produced by the simultaneous use of two probes of different or equal operating frequencies. ...
doi:10.1155/2014/347265
pmid:25104968
pmcid:PMC4106054
fatcat:heiqpf6qfzaa7dlbtiholm5u4y
Semi-Tomographic Gamma Scanning Technique for Non-Destructive Assay of Radioactive Waste Drums
2016
IEEE Transactions on Nuclear Science
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Segmented gamma scanning (SGS) and tomographic gamma scanning (TGS) are two traditional detection techniques for low and intermediate level radioactive waste drum. ...
This method and its algorithm synthesize the principles of SGS and TGS. In this method, each segment is divided into annual voxels and tomography is used in the radiation reconstruction. ...
The detector is placed toward the waste drum which is rotating continuously. The assay is performed segment by segment in sequence. ...
doi:10.1109/tns.2016.2614964
fatcat:xytahj3t7rgefoutddmxpqzdbm
A Tetrahedron-Based Heat Flux Signature for Cortical Thickness Morphometry Analysis
[chapter]
2018
Lecture Notes in Computer Science
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Surgical Visibility Assessment, Restoration, and Augmented Stereo Surface Reconstruction for Robotic Prostatectomy 743 Towards Efficient and Accurate Invasive Cancer Detection Utilizing Compressed and ...
Networks for Efficient Brain Tumor Segmentation 329 MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency 330 Stochastic Deep Compressive ...
doi:10.1007/978-3-030-00931-1_48
pmid:30338317
pmcid:PMC6191198
fatcat:dqhvpm5xzrdqhglrfftig3qejq
Driving Scene Perception Network: Real-Time Joint Detection, Depth Estimation and Semantic Segmentation
2018
2018 IEEE Winter Conference on Applications of Computer Vision (WACV)
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2018 pre-print arXiv:1803.03778v1 fatcat:ngfrbr22rvgo7ngi4ts3olq32i
an efficient approach for simultaneous object detection, depth estimation and pixel-level semantic segmentation using a shared convolutional architecture. ...
The proposed network model, which we named Driving Scene Perception Network (DSPNet), uses multi-level feature maps and multi-task learning to improve the accuracy and efficiency of object detection, depth ...
We summarize our contributions as follows: • Efficient multi-task inference: An efficient neural network model for simultaneous object detection, depth estimation and pixel-level semantic segmentation ...
doi:10.1109/wacv.2018.00145
dblp:conf/wacv/ChenYML18
fatcat:rvsk22hyz5axrmrsppfgijebjm
Illuminating Pedestrians via Simultaneous Detection & Segmentation
[article]
2017
arXiv
pre-print
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Overall, our simultaneous detection and segmentation framework achieves a considerable gain over the state-of-the-art on the Caltech pedestrian dataset, competitive performance on KITTI, and executes 2x ...
In this work, we explore how semantic segmentation can be used to boost pedestrian detection accuracy while having little to no impact on network efficiency. ...
Simultaneous Detection & Segmentation: There are two lines of research on simultaneous detection and segmentation. ...
arXiv:1706.08564v1
fatcat:neyvb7kkbjbvjpanneycxrfkfi
Video Compass
[chapter]
2002
Lecture Notes in Computer Science
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We exploit this observation towards efficient detection and estimation of vanishing points, which provide strong constraints on camera parameters and relative orientation of the camera with respect to ...
By combining efficient image processing techniques in the line detection and initialization stage we demonstrate that simultaneous grouping and estimation of vanishing directions can be achieved in the ...
rows of A ∈ R 3×n are the detected line segments. ...
doi:10.1007/3-540-47979-1_32
fatcat:2zg7veplhzfzlejrh6vk36zryy
SenseCare: A Research Platform for Medical Image Informatics and Interactive 3D Visualization
[article]
2020
arXiv
pre-print
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To facilitate clinical research with Artificial Intelligence (AI), SenseCare provides a range of AI toolkits for different tasks, including image segmentation, registration, lesion and landmark detection ...
SenseCare provides several appealing functions and features such as advanced 3D visualization, concurrent and efficient web-based access, fast data synchronization and high data security, multi-center ...
such as lesion and cell detection [16] , nuclei/gland segmentation [18] and cell segmentation [31] , etc. ...
arXiv:2004.07031v1
fatcat:aczelk3365ftniy2vt7tcxwe7i
Detection for Power line Inspection
2017
MATEC Web of Conferences
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The main advantage of this approach is its efficiency and accuracy for processing huge quantity of image data. Obtaining highly encouraging results shows that it is really a promising technique. ...
Following this direction, this paper proposes a learning approach for all kinds of detecting problems, where aggregate channel features are used to train the boost classifier. ...
To achieve the goal of autonomous inspection, research efforts must aim towards developing general approaches that satisfy the several requirements: e.g. simultaneous detection of power lines and electric ...
doi:10.1051/matecconf/201710003010
fatcat:libl7hnmivff7hji7czjlcngou
ICCV Program
2007
2007 IEEE 11th International Conference on Computer Vision
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Davis: Integrating Appearance and Motion Cues for Simultaneous Detection and Segmentation of Pedestrians [PDF paper] [Suplemental Files] End of Third Day: Banquet Friday, October 19 9:00am -10:00am: Oral ...
Vemuri: [PDF paper] USSR: A Unified Framework for Simultaneous Smoothing, Segmentation, and Registration of Multiple Images Olivier Juan, Yuri Boykov: [PDF paper] Capacity Scaling for Graph Cuts in Vision ...
doi:10.1109/iccv.2007.4408821
fatcat:csxpst65sbagxhouhz5yuj3qbu
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