The Computer Vision and Image Processing Laboratory works where computer vision, pattern recognition and machine learning meet. How image data should be acquired, analysed and processed, and how a three-dimensional world can be read out of two-dimensional images, are its central questions. Deep learning is used to solve established image analysis problems in new ways, with applications spanning face and fingerprint recognition, object recognition and tracking, panoramic image generation and three-dimensional shape reconstruction.