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Simultaneous registration, segmentation and change detection from multisensor, multitemporal satellite image pairs

M. Vakalopoulou, C. Platias, M. Papadomanolaki, N. Paragios, K. Karantzalos
2016 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)  
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

Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
2016 Medical Image Analysis  
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/ pmid:27377331 fatcat:f2jy24hynva2fgjfyvrcmfs6e4

Author Index

2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
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]

Xulei Yang, Zeng Zeng, Si Yong Yeo, Colin Tan, Hong Liang Tey, Yi Su
2017 arXiv   pre-print
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]

Karl Pauwels, Temujin Gautama, Danilo P. Mandic, Marc M. Hulle
2004 Applications and Science in Soft Computing  
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


Stevica Cvetković, Nemanja Grujić, Slobodan Ilić, Goran Stančić
2020 Facta Universitatis Series Automatic Control and Robotics  
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

Anke Meyer-Baese, Claudia Plant, Juan Manuel Gorriz Saez
2014 Computational and Mathematical Methods in Medicine  
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

Weiguo Gu, Kaiyuan Rao, Dezhong Wang, Jiemei Xiong
2016 IEEE Transactions on Nuclear Science  
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]

Yonghui Fan, Gang Wang, Natasha Lepore, Yalin Wang
2018 Lecture Notes in Computer Science  
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

Liangfu Chen, Zeng Yang, Jianjun Ma, Zheng Luo
2018 2018 IEEE Winter Conference on Applications of Computer Vision (WACV)  
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]

Garrick Brazil, Xi Yin, Xiaoming Liu
2017 arXiv   pre-print
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]

Jana Košecká, Wei Zhang
2002 Lecture Notes in Computer Science  
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]

Qi Duan, Guotai Wang, Rui Wang, Chao Fu, Xinjun Li, Maoliang Gong, Xinglong Liu, Qing Xia, Xiaodi Huang, Zhiqiang Hu, Ning Huang, Shaoting Zhang
2020 arXiv   pre-print
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

Bing Han, Xiaoyu Wang, L. Zhao, A. Xavior, J. Cai, L. You
2017 MATEC Web of Conferences  
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  
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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