Optimum detectors for artificial object recognition

Lead Research Organisation: University of Oxford
Department Name: Engineering Science

Abstract

Current digital cameras have a linear response and are only really suitable for simple picture imaging under controlled light conditions. In fact compared to human vision these cameras have two critical and debilitating limitations, a limited dynamic range and variability in object colour. The first of these limitations causes saturation when the dynamic range of a scene is larger than that of the camera. The second limitation is subtler and means that unlike human vision it is difficult to use colour information from linear cameras in artificial object recognition systems. Both these limitations can be overcome using pixels with a relatively narrow spectral response and an output that is proportional to the logarithm of the detected photocurrent. We intend to overcome these limitations by developing a new camera technology based upon organic photodiodes and a logarithmic response.

Publications

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Cheng H (2007) A High-Dynamic-Range Integrating Pixel With an Adaptive Logarithmic Response in IEEE Photonics Technology Letters

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Cheng H (2009) An Integrating Wide Dynamic-Range Image Sensor With a Logarithmic Response in IEEE Transactions on Electron Devices

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Ratnasingam S (2010) Optimum sensors for color constancy in scenes illuminated by daylight. in Journal of the Optical Society of America. A, Optics, image science, and vision

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Ratnasingam S (2011) Extending "color constancy" outside the visible region. in Journal of the Optical Society of America. A, Optics, image science, and vision

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Ratnasingam S (2010) Study of the photodetector characteristics of a camera for color constancy in natural scenes. in Journal of the Optical Society of America. A, Optics, image science, and vision