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Adresses a central problem in computer vision - how to recover 3-D structure and motion from a collection of 2-D images - using techniques drawn mainly from linear algebra and matrix theory. The stress is on developing a unified framework for studying the geometry of multiple images of a 3-D scene and reconstructing geometric models from those images. «
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