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First part: ???? We proposed a novel probabilistic approach to handle occlusions and perspective effects (challenging problems in computer vision) for 3D object detection from a 2D image. The proposed method is based on 3D scene simulation on the GPU using OpenGL. Candidates configurations are proposed, simulated on the GPU and projected onto the image plane. Configurations are modified until convergence using an appropriate optimization algorithm. Second part: ????? We proposed a new optimization method for Point Process models, which is a interesting framework for solving many challenging problems dealing with high resolution images. Our optimization method which we call " Multiple Births and Cut " (MBC), is the only semideterministic optimiser for the point process models. Our proposed algorithm overcomes all previously existing optimisers in terms of: speed, simplicity, reduced and simplified set of parameters ,