Titlebook: Image Analysis and Processing – ICIAP 2019; 20th International C Elisa Ricci,Samuel Rota Bulò,Nicu Sebe Conference proceedings 2019 Springe

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D. Duque-Arias,S. Velasco-Forero,J.-E. Deschaud,F. Goulette,B. Marcotegui We found that PWP in rural areas increases child work for pay, reduces children’s time spent on child care and household chores and total hours of time children spent on work all kind of work combined, and increases girls spending on study. The DSP in rural and urban areas reduces time children spe

Guileless

Leonardo F. S. Scabini,Rayner H. M. Condori,Lucas C. Ribas,Odemir M. Brunosfer programs on child school attendance in Uruguay. The nal paper further carries out in-depth macro-modeling and micro-regression analysis to simulate the impacts of the food crisis and various policy responses, including food subsidies and cash transfers, on various dimensions of child poverty in

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legacy

Marco Leonardi,Luigi Celona,Paolo Napoletano,Simone Bianco,Raimondo Schettini,Franco Manessi,Alessan

售穴

Aggrandize

Disparity Image Analysis for 3D Characterization of Surface Anomalieson of large structures in aeronautic contexts. The costs of the repair processes can weigh upon the total costs, and sometimes the repair itself can be unfeasible and cause the material to be rejected. The early detection of anomalies during the production phase can interrupt the production chain an

垫子

Personalized Expression Synthesis Using a Hybrid Geometric-Machine Learning Method deformation but lead to images which are lacking in texture details such as wrinkles and teeth. On the other hand, the machine learning methods (e.g. Generative Adversarial Network GAN) generate photo-realistic expressions and add texture details to the images but the synthesized expressions are no

Collar

贞洁

A Region Proposal Approach for Cells Detection and Counting from Microscopic Blood Imagesbased on a region proposal approach, namely the Edge Boxes, considered as the state-of-art region proposal method. Incorporating knowledge-based constraints into the detection process by Edge Boxes we can find cells proposals rapidly and efficiently. Experimental results on a well-known public datas

Lyme-disease

A Single-Resolution Fully Convolutional Network for Retinal Vessel Segmentation in Raw Fundus Imageslth conditions. Even though the recent advent of deep learning allowed to foster the performance of computer-based algorithms in this task, further improvement concerning the detection of vessels while suppressing background noise has clinical significance. Moreover, the best performing state-of-the