Submitted by Rafael Pena (rafael.columa@gmail.com) on 2013-09-13T04:07:30Z No. of bitstreams: 1 Dissertacao_Rafael_Pena_VFinal-2.pdf: 4512579 bytes, checksum: f1ad6c6432da47869d2e06b29c0e189f (MD5) / Approved for entry into archive by Janete de Oliveira Feitosa (janete.feitosa@fgv.br) on 2013-09-20T20:08:53Z (GMT) No. of bitstreams: 1 Dissertacao_Rafael_Pena_VFinal-2.pdf: 4512579 bytes, checksum: f1ad6c6432da47869d2e06b29c0e189f (MD5) / Approved for entry into archive by Marcia Bacha (marcia.bacha@fgv.br) on 2013-09-23T18:13:35Z (GMT) No. of bitstreams: 1 Dissertacao_Rafael_Pena_VFinal-2.pdf: 4512579 bytes, checksum: f1ad6c6432da47869d2e06b29c0e189f (MD5) / Made available in DSpace on 2013-09-23T18:13:53Z (GMT). No. of bitstreams: 1 Dissertacao_Rafael_Pena_VFinal-2.pdf: 4512579 bytes, checksum: f1ad6c6432da47869d2e06b29c0e189f (MD5) Previous issue date: 2013-02-08 / The expression Corporate Social Responsibility has been commonly used for people , and actions related to CSR are frequently revealed b y companies, and it shows the potential that exists on organizations to influence social and environmental problems. Nowadays there are many metrics that helps companies to measure the effectiveness of Corporate Social Responsibility actions and , with the se metrics, organizations can publish it s performance on public reports for investors and market. The present research is proposed to analyze the performance of a logistic company in Corporate Social Responsibility using its employees perception about this subject, comparing this with the company’s speech , and verifying if there are any gaps between them. P ossible causes for gaps between employees perception a nd company’s speech are analyzed and explained in accordance to the Frankfurt School Theories and o ther researches in Social Responsibility area. Ethos Institute’s Key Performance Indicators are used to delimitate the scope of the research and identify the analyzed company’s performance in Corporate Social Responsibility. / A disseminação do termo Responsabilidade Social Corporativa e de suas respectivas ações demonstra o grande potencial que as empresas possuem para atenuar ou agravar problemas sociais e ambientais. Hoje, existem diversas métricas que permitem medir a efetividade das ações de Responsabilidade Social praticadas pelas organizações e assim divulgar os feitos em RSC tanto em relatórios para investidores e quanto em outros meios. Esta pesquisa propõe analisar o desempenho em Responsabilidade Social de uma empresa do segmento de logística, pela percepção dos seus funcionários, confrontando-a com o discurso da empresa procurando identificar gaps de percepção. À luz de teorias da Escola de Frankfurt e de estudos em Responsabilidade Social, são analisadas possíveis causas para a existência de gaps entre a percepção dos funcionários e o discurso da empresa. Para delimitar o escopo da pesquisa, dada a amplitude do tema, foram utilizados os Indicadores Ethos de Responsabilidade Social Empresarial para identificar o desempenho em RSC da empresa analisada.

This research presents a novel framework for automatic chroma keying and the optimizations for real-time and stereoscopic 3D processing. It first simulates the process of human perception on isolating foreground elements in a given scene by perceptual analysis, and then predicts foreground colours and alpha map based on the analysis results and the restored clean background plate rather than direct sampling. Besides, an object level depth map is generated through stereo matching on a carefully determined feature map. In addition, three prototypes on different platforms have been implemented according to their hardware capability based on the proposed framework. To achieve real-time performance, the entire procedures are optimized for parallel processing and data paths on the GPU, as well as heterogeneous computing between GPU and CPU. The qualitative comparisons between results generated by the proposed algorithm and other existing algorithms show that the proposed one is able to generate more acceptable alpha maps and foreground colours especially in those regions that contain translucencies and details. And the quantitative evaluations also validate our advantages in both quality and speed.