Fusing Spatial, Pictorial and Photometric Data to Build Photorealistic Models

We are working on several projects related to the automatic fusion and high-level interpretation of 3D sensor data for building models of real-world objects and scenes. Our major goal is to create rich and geometrically correct, scalable photorealistic 3D models based on multimodal data obtained using a laser scanner, a camera and illumination sources. In this report, we present a sophisticated software system that processes and fuses geometric, pictorial and photometric data using genetic algorithms and efficient methods of computer vision.

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