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The task of generating high quality computer images in the shortest time possible, believable to the target’s audience perception, using all computational resources available, is still a challenging procedure, composed by a chain of specific processes. This work presents a study of this chain, focusing on the evaluation of Global Illumination methods used on the Synthesis of Photorealistic Images, in the areas of Animation and Visual Effects. To achieve the goal of helping users to produce high-quality photorealistic images, two experiments were proposed containing several test scenes and six State-of-the-Art Global Illumination methods: Path Tracing, Light Tracing, Bidirectional Path Tracing, Metropolis Light Transport, Progressive Photon Mapping and Vertex Connection and Merging. In order to execute the tests, the open source renderer Mitsuba was used. The quality of the produced images was analyzed using two different perceptual metrics: Structural Similarity Index – SSIM – and Visual Difference Predictor – HDR-VDP-2. By analyzing results, a Recommendation Guide was created, providing suggestions, based on an arbitrary scene’s characteristics, of the most suitable Global Illumination method to be used in order to synthesize images from the given scene. In the end, future ways of research are presented, proposing the use of classifiers, parameter reduction methods and Artificial Intelligence, in order to build an automatic procedure to generate high quality photorealistic images.

Proposta de metodologia para avaliação de métodos de iluminação global em síntese de imagens