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7th International Conference on Information Systems, Logistics and Supply Chain, ILS 2018

作者： Machado, Sivanilza Teixeira Dos Reis, João Gilberto Mendes Da Silva, Adriano Maniçoba Bueno, Régis Cortez Tanaka, Wilson Yoshio De Felice Zampini, Eugenio NAPOLE - Advanced Production Operations Logistics and Strategy Center Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Brazil RESUP - Supply Chain Research Group Post-graduate Program in Production Engineering Paulista University 1212 Dr. Bacelar St. São Paulo SP Brazil iLAB - Image Pattern Recognition Laboratory Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Singapore

Food Losses and wastes can become a major social and economic problem if not managed properly. Over the last decades, some research has focused on the waste and loss of fruits and vegetables due to the population growth, which makes essential to find out ways to reduce these wastes and losses. However, few studies dealt with the amount of fruit and vegetables that are wasted by consumers. The purpose of this study is to identify the main causes that affect the generation of wastes in household's consumer behavior. A structured survey was applied to 275 Brazilian consumers, where 53% were female and 47% male, restricted a region of Brazil to identify these causes. The results show that a high education level does not imply a low food waste. Moreover, it indicates that, despite the low volume waste by family, the sum of these wastes represents a huge volume affecting logistics and supply chain management, waste disposal areas and environmental pollution. © ILS 2018 - Information Systems, Logistics and Supply Chain, Proceedings. All rights reserved.

关键词： Vegetables

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Brazilian consumers' preference towards fruits: The drivers of banana, orange, lemon and apple supply chain 7

Brazilian consumers' preference towards fruits: The drivers ...

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7th International Conference on Information Systems, Logistics and Supply Chain, ILS 2018

作者： Machado, Sivanilza Teixeira Dos Reis, João Gilberto Mendes Da Silva, Adriano Maniçoba Bueno, Régis Cortez Tanaka, Wilson Yoshio De Felice Zampini, Eugenio Toloi, Rodrigo Carlo NAPOLE - Advanced Production Operations Logistics and Strategy Center Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Brazil RESUP - Supply Chain Research Group Post-graduate Program in Production Engineering Paulista University 1212 Dr. Bacelar St. São Paulo SP Brazil iLAB - Image Pattern Recognition Laboratory Federal Institute of São Paulo 1501 Mogi das Cruzes Avenue Suzano SP Singapore

Public health problem is associated to eating habits, such as higher consumption of fast food and popular snakes. Excessive consumption of these foods can cause health problems such as obesity due to its high energy densities. These foods have become commonplace in world culture for their low price and the easy-to-eat foods mass production. It is known that fruits are essential in balanced diets and an important part of the nutrition strategies programs by contribute to a healthy life. Some works has shown a consumer's global trend demand for product and the life quality and between fresh food and healthy. The Brazil are the third in the word in fruit supply chain and one of the biggest problems facing is fruit loss. It is estimated that mean of fruits losses occurs in households. The present study aimed to determine Brazilian preference towards fruit and the Brazilian consumer behavior influence which might contribute to losses during consumption stage. We explored the literature and created a survey with 275 participants, 46% of men and 53% of women, to identify the perception of Brazilian consumers that may contribute to fruit loss. The results shown the consumer preferences in buying mature fruits is associated with habits and can contribute to food losses and waste, because according best practice to fruit preservation is recommended that the majority types of mellow fruits should be stored in refrigerator and some of them should be consume as soon as possible. © ILS 2018 - Information Systems, Logistics and Supply Chain, Proceedings. All rights reserved.

关键词： Citrus fruits

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Adversarial and perceptual refinement for compressed sensing MRI reconstruction

arXiv

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arXiv 2018年

作者： Seitzer, Maximilian Yang, Guang Schlemper, Jo Oktay, Ozan Würfl, Tobias Christlein, Vincent Wong, Tom Mohiaddin, Raad Firmin, David Keegan, Jennifer Rueckert, Daniel Maier, Andreas Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen Germany Biomedical Image Analysis Group Imperial College London United Kingdom National Heart & Lung Institute Imperial College London United Kingdom Cardiovascular Research Centre Royal Brompton Hospital London United Kingdom

Deep learning approaches have shown promising performance for compressed sensing-based Magnetic Resonance Imaging. While deep neural networks trained with mean squared error (MSE) loss functions can achieve high peak signal to noise ratio, the reconstructed images are often blurry and lack sharp details, especially for higher undersampling rates. Recently, adversarial and perceptual loss functions have been shown to achieve more visually appealing results. However, it remains an open question how to (1) optimally combine these loss functions with the MSE loss function and (2) evaluate such a perceptual enhancement. In this work, we propose a hybrid method, in which a visual refinement component is learnt on top of an MSE loss-based reconstruction network. In addition, we introduce a semantic interpretability score, measuring the visibility of the region of interest in both ground truth and reconstructed images, which allows us to objectively quantify the usefulness of the image quality for image post-processing and analysis. Applied on a large cardiac MRI dataset simulated with 8-fold undersampling, we demonstrate significant improvements (p Copyright © 2018, The Authors. All rights reserved.

关键词： Mean square error

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Correction to: Automatic identification of myopic maculopathy related imaging features in optic disc region via machine learning methods

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Journal of translational medicine 2021年第1期19卷 203页

作者： Yuchen Du Qiuying Chen Ying Fan Jianfeng Zhu Jiangnan He Haidong Zou Dazhen Sun Bowen Xin David Feng Michael Fulham Xiuying Wang Lisheng Wang Xun Xu Department of Automation The Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University (SJTU) 800 Dongchuan RD. Minhang District Shanghai 200240 People's Republic of China. Department of Preventative Ophthalmology Shanghai Eye Diseases Prevention and Treatment Center Shanghai Eye Hospital No. 380 Kangding Road Shanghai 200040 China. Department of Ophthalmology Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photo Medicine Shanghai General Hospital SJTU School of Medicine Shanghai China. National Clinical Research Center for Eye Diseases Shanghai 20080 China. Biomedical and Multimedia Information Technology Research Group School of Computer Science The University of Sydney Sydney NSW 2006 Australia. Department of Molecular Imaging Royal Prince Alfred Hospital and the University of Sydney Sydney Australia. Department of Automation The Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University (SJTU) 800 Dongchuan RD. Minhang District Shanghai 200240 People's Republic of China. lswang@***. Department of Preventative Ophthalmology Shanghai Eye Diseases Prevention and Treatment Center Shanghai Eye Hospital No. 380 Kangding Road Shanghai 200040 China. drxuxun@***. Department of Ophthalmology Shanghai Key Laboratory of Ocular Fundus Diseases Shanghai Engineering Center for Visual Science and Photo Medicine Shanghai General Hospital SJTU School of Medicine Shanghai China. drxuxun@***. National Clinical Research Center for Eye Diseases Shanghai 20080 China. drxuxun@***.

An amendment to this paper has been published and can be accessed via the original article.

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Real-time multi-resolution digital elevation map creation using the sensor model of a stereovision sensor

Real-time multi-resolution digital elevation map creation us...

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International Conference on Intelligent Transportation

作者： Szilárd Mandici Sergiu Nedevschi Image Processing and Pattern Recognition Research Group Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781509018901

This paper presents an approach for constructing high quality Digital Elevation Maps (DEMs) from dense stereo data. As opposed to classical DEM creation algorithms, the proposed solution uses the sensor models of the stereovision sensor to correct the raw data. The direct and inverse sensor models are found from experiments. The algorithm decomposes the 2D cells containing vertical objects or object boundaries in order to model the objects more precisely. The approach distinguishes between 2 types of cells: cells containing horizontal and vertical objects. For the vertical object cells, connected components in the histogram of heights are found while in the horizontal object cells, the most representative height is determined using a mode-seeking approach similar to mean shift. The 3D reconstructed points are assigned to the cells around it by considering the probability of correspondence based on the 2D Gaussian component of the direct sensor model. In order to eliminate the noise, a similarity measure is computed between each 3D point and cell based on the calculated DEM cell descriptor and is discarded if the similarity score is smaller than a predefined threshold. The algorithm is implemented on the GPU in order to achieve a real-time execution speed and it is evaluated extensively in comparison with other DEM creation algorithms using the latest KITTI stereo benchmark data. The obtained DEM is denser, more accurate and the object boundaries are modeled more precisely.

关键词： Three-dimensional displays Robot sensing systems image reconstruction Two dimensional displays Histograms Solid modeling Mathematical model

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Automatic removal of externally attached fiducial markers in cone beam C-arm CT

Automatic removal of externally attached fiducial markers in...

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Workshops Bildverarbeitung fur die Medizin: Algorithmen - Systeme - Anwendungen, BVM 2014 - Workshop on image Processing for Medicine: Algorithms - Systems - Applications, BVM 2014

作者： Berger, Martin Forman, Christoph Schwemmer, Chris Choi, Jang H. Müller, Kerstin Maier, Andreas Hornegger, Joachim Fahrig, Rebecca Pattern Recognition Lab FAU Erlangen-Nürnberg Germany Research Training Group 1773 Heterogeneous Image Systems Stanford University StanfordCA United States Stanford University StanfordCA United States Department of Radiology Stanford University StanfordCA United States

ISBN: (纸本)9783642541100

In computed tomography fiducial markers are frequently used to obtain accurate point correspondences for further processing. These markers typically cause metal artefacts, decreasing image quality of the subsequent reconstruction and are therefore often removed from the projection data. The placement of such markers is usually done on a surface, separating two materials, e.g. skin and air. Hence, a correct restoration of the occluded area is difficult. In this work six state-of-the-art interpolation techniques for the removal of high-density fiducial markers from cone-beam CT projection data are compared. We conducted a qualitative and quantitative evaluation for the removal of such markers and the ability to reconstruct the adjoining edge. Results indicate that an iterative spectral deconvolution is best suited for this application, showing promising results in terms of edge, as well as noise restoration. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Restoration

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Gated boosting: Efficient classifier boosting and combining

Gated boosting: Efficient classifier boosting and combining

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35th Annual German Conference on Artificial Intelligence, KI 2012

作者： Yousefi, Mohammad Reza Breuel, Thomas M. Image Understanding and Pattern Recognition Group Department of Computer Science TU Kaiserslautern Germany

ISBN: (纸本)9783642333460

We study boosting by using a gating mechanism, Gated Boosting, to perform resampling instead of the weighting mechanism used in Adaboost. In our method, gating networks determine the distribution of the samples for training a consecutive base classifier, considering the predictions of the prior base classifiers. Using gating networks prevents the training instances from being repeatedly included in different subsets used for training base classifiers, being a key goal in achieving diversity. Furthermore, these are the gating networks that determine which classifiers' output to be pooled for producing the final output. The performance of the proposed method is demonstrated and compared to Adaboost on four benchmarks from the UCI repository, and MNIST dataset. © 2012 Springer-Verlag.

关键词： Adaptive boosting

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Improvements to uncalibrated feature-based stereo matching for document images by using text-line segmentation

Improvements to uncalibrated feature-based stereo matching f...

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10th IAPR International Workshop on Document Analysis Systems, DAS 2012

作者： Afzal, Muhammad Zeshan Krämer, Martin Bukhari, Syed Saqib Shafait, Faisal Breuel, Thomas M. Image Understanding and Pattern Recognition Group Technical University of Kaiserslautern Kaiserslautern Germany Kaiserslautern Germany

ISBN: (纸本)9780769546612

Document images prove to be a difficult case for standard stereo correspondence approaches. One of the major problem is that document images are highly self-similar. Most algorithms try to tackle this problem by incorporating a global optimization scheme, which tends to be computationally expensive. In this paper, we show that incorporation of layout information into the matching paradigm, as a grouping entity for features, leads to better results in terms of robustness, efficiency, and ultimately in a better 3D model of the captured document, that can be used in various document restoration systems. This can be seen as a divide and conquer approach that partitions the search space into portions given by each grouping entity and then solves each of them independently. As a grouping entity text-lines are preferred over individual character blobs because it is easier to establish correspondences. Text-line extraction works reasonably well on stereo image pairs in the presence of perspective distortions. The proposed approach is highly efficient and matches obtained are more reliable. The claims are backed up by showing their practical applicability through experimental evaluations. © 2012 IEEE.

关键词： Global optimization

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Visual cortex inspired features for object detection in X-ray images

Visual cortex inspired features for object detection in X-ra...

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International Conference on pattern recognition

作者： Ludwig Schmidt-Hackenberg Mohammad Reza Yousefi Thomas M. Breuel Image Understanding and Pattern Recognition Group Department of Computer Science University of Kaiserslautern Germany

ISBN: (纸本)9781467322164

Visual cortex inspired features mimic what we know of the brain's visual cortex, which is still the best existing object detection system regarding speed and accuracy. For this paper we benchmarked two prominent implementations of these features, Mutch and Lowe's SLF-HMAX and Pinto et al.'s V1-like, against the popular local invariant features SIFT and PHOW in combination with the bag of visual words approach. The benchmark task was the detection of illicit objects in X-ray images of luggage. X-ray inspection is one of the main means of preventing the transport of illicit objects into sensitive areas. The visual cortex inspired features performed superior to the conventional features, probably owing to the textureless nature of X-ray images and the encoding of geometric information.

关键词： Visualization Feature extraction X-ray imaging Support vector machines Brain modeling Object recognition Benchmark testing

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Measurement of Individual Changes in the Performance of Human Stereoscopic Vision for Disparities at the Limits of the Zone of Comfortable Viewing

Measurement of Individual Changes in the Performance of Huma...

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International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT)

作者： Jan Paulus Georg Michelson Marcus Barkowsky Joachim Hornegger Bjöern Eskofier Michael Schmidt Pattern Recognition Laboratory Institute of Photonic Technologies Erlangen Graduate School in Advanced Optical Technologies (SAOT) University of Erlangen-Nuremberg Germany Department of Ophthalmology Erlangen Graduate School in Advanced Optical Technologies (SAOT) University of Erlangen-Nuremberg Germany Image and video-communication (IVC) research group LUNAM Université IRCCyN UMR CNRS 6597 Polytech Nantes Université de Nantes France Pattern Recognition Laboratory Erlangen Graduate School in Advanced Optical Technologies (SAOT) University of Erlangen-Nuremberg Germany Institute of Photonic Technologies Erlangen Graduate School in Advanced Optical Technologies (SAOT) University of Erlangen-Nuremberg Germany

3D displays enable immersive visual impressions but the impact on the human perception still is not fully understood. Viewing conditions like the convergence-accommodation (C-A) conflict have an unnatural influence on the visual system and might even lead to visual discomfort. As visual perception is individual we assumed the impact of simulated 3D content on the visual system to be as well. In this study we aimed to analyze the stereoscopic visual performance of 17 subjects for disparities inside and outside the in literature defined zone of comfortable viewing to provide an individual evaluation of the impact of increased disparities on the performance of the visual system. Stereoscopic stimuli were presented in a four-alternative forced choice (4AFC) setup in different disparities. The response times as well as the correct decision rates indicated the performance of stereoscopic vision. The results showed that increased disparities lead to a decline in performance. Further, the impact of the presented disparities is dependent on the difficulty of the task. The decline of performance as well as the deciding disparities for the decline were subject dependent.

关键词： Visualization Time factors Three-dimensional displays Educational institutions Stereo image processing Adaptive optics Optical imaging

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