2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)最新文献_第7页

Hyperspectral face recognition using 3D discrete wavelet transform 基于三维离散小波变换的高光谱人脸识别

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821008

A. Ghasemzadeh, H. Demirel

引用次数: 8

Combining deep learning and hand-crafted features for skin lesion classification 结合深度学习和手工特征进行皮肤病变分类

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821017

Tomás Majtner, Sule YAYILGAN YILDIRIM, J. Hardeberg

引用次数: 116

Automated visual fruit detection for harvest estimation and robotic harvesting 用于收获估计和机器人收获的自动视觉水果检测

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820996

Steven Puttemans, Y. Vanbrabant, L. Tits, T. Goedemé

{"title":"Automated visual fruit detection for harvest estimation and robotic harvesting","authors":"Steven Puttemans, Y. Vanbrabant, L. Tits, T. Goedemé","doi":"10.1109/IPTA.2016.7820996","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7820996","url":null,"abstract":"Fully automated detection and localisation of fruit in orchards are key components in creating automated robotic harvesting systems. During recent years a lot of research on this topic has been performed, either using basic computer vision techniques, like colour based segmentation, or by resorting to other sensors, like LWIR, hyperspectral or 3D. Recent advances in computer vision present a broad range of advanced object detection techniques that could improve the quality of fruit detection from RGB images drastically. We suggest to use an object categorisation framework based on boosted cascades of weak classifiers to implement a fully automated semi-supervised fruit detector and demonstrate it on both strawberries and apples. Compared to existing techniques we improved fruit detection, mainly in the case of fruit clusters, using a supervised machine learning instead of hand crafting image filters specific to the application. Moreover we integrate application specific colour information to ensure a more stable output of our fully automated detection algorithm. Finally we make suggestions for efficient fruit cluster separation. The developed technique is validated on both strawberries and apples and is proven to have large benefits in the field of automated harvest and crop estimation.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 40

Head measurements from 3D point clouds 从3D点云测量头部

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821016

I. C. P. Mejía, A. Zell

引用次数: 4

Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise 混合泊松高斯噪声下的单幅图像超分辨率重建

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820962

Buda Bajić, Joakim Lindblad, Natasa Sladoje

引用次数: 3

Square to hexagonal lattice conversion based on one-dimensional interpolation 基于一维插值的正方形到六边形晶格转换

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821035

Xiangguo Li, B. Gardiner, S. Coleman

引用次数: 6

Advanced low cost clustering system 先进的低成本集群系统

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821015

G. Spampinato, A. Bruna, S. Curti, Viviana D'Alto

引用次数: 3

Hyperspectral image analysis using deep learning — A review 使用深度学习的高光谱图像分析-综述

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7820963

H. Petersson, David Gustafsson, D. Bergström

引用次数: 66

Investigation of adaptive local threshold segmentation in context of 3D-handwriting forensics 三维笔迹取证中自适应局部阈值分割的研究

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821000

Michael Kalbitz, T. Scheidat, C. Vielhauer

{"title":"Investigation of adaptive local threshold segmentation in context of 3D-handwriting forensics","authors":"Michael Kalbitz, T. Scheidat, C. Vielhauer","doi":"10.1109/IPTA.2016.7821000","DOIUrl":"https://doi.org/10.1109/IPTA.2016.7821000","url":null,"abstract":"Image segmentation plays an important role in digitized crime scene forensics. Particularly in context of modern high resolution contact-less and non-destructive acquisition and analysis of handwriting impression traces by means of 3D sensors, one main challenge is the separation of writing trace areas and non-traces by image segmentation. In earlier work authors have presented the general, yet qualitative feasibility to do so by an initial processing pipeline based on data acquisition, pre-processing and a global segmentation approach. However, quantitative measurements with regards to the segmentation quality have not been studied yet, as well as the discussion of alternative strategies for 3D image segmentation in this scenario. In this paper, we extent the earlier work by introducing a concept for benchmarking segmentation accuracy for 3D handwriting traces. Further we present results with regards to the initial approach as well as a new, adaptive local threshold segmentation. The benchmarking is based on ground truth data, determined using data of handwriting traces acquired by a high-quality flatbed scanner and segmentation information retrieved from those by means of an Otsu operator. This ground truth allows for calculation of true positive, true negative, false positive and false negative error rates as quality measurement. The practical impact of the suggested benchmarking is shown by comparison of experimental results based on initial segmentation approach and new adaptive approach. Experiments are based on ten handwriting traces each of eleven persons. The comparison of results indicates that the best parameter set of the adaptive thresholding leads to an quality increase of 12.1% in terms of precision for writing trace and decrease of 1.4% in terms of precission for background.","PeriodicalId":123429,"journal":{"name":"2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127793523","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

An original face anti-spoofing approach using partial convolutional neural network 一种基于部分卷积神经网络的人脸防欺骗方法

2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA) Pub Date : 2016-12-01 DOI: 10.1109/IPTA.2016.7821013

Lei Li, Xiaoyi Feng, Z. Boulkenafet, Zhaoqiang Xia, Mingming Li, A. Hadid

引用次数: 223