Proceedings ArticleDOI
Radiometric self calibration
Tomoo Mitsunaga,Shree K. Nayar +1 more
- Vol. 1, pp 374-380
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TLDR
A simple algorithm is described that computes the radiometric response function of an imaging system, from images of an arbitrary scene taken using different exposures, to fuse the multiple images into a single high dynamic range radiance image.Abstract:
A simple algorithm is described that computes the radiometric response function of an imaging system, from images of an arbitrary scene taken using different exposures. The exposure is varied by changing either the aperture setting or the shutter speed. The algorithm does not require precise estimates of the exposures used. Rough estimates of the ratios of the exposures (e.g. F-number settings on an inexpensive lens) are sufficient for accurate recovery of the response function as well as the actual exposure ratios. The computed response function is used to fuse the multiple images into a single high dynamic range radiance image. Robustness is tested using a variety of scenes and cameras as well as noisy synthetic images generated using 100 randomly selected response curves. Automatic rejection of image areas that have large vignetting effects or temporal scene variations make the algorithm applicable to not just photographic but also video cameras.read more
Citations
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High dynamic range imaging: spatially varying pixel exposures
Shree K. Nayar,Tomoo Mitsunaga +1 more
TL;DR: In this article, an optical mask is placed adjacent to a conventional image detector array to sample the spatial and exposure dimensions of image irradiance, and then the mask is mapped to a high dynamic range image using an efficient image reconstruction algorithm.
References
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Book
Robot Vision
TL;DR: Robot Vision as discussed by the authors is a broad overview of the field of computer vision, using a consistent notation based on a detailed understanding of the image formation process, which can provide a useful and current reference for professionals working in the fields of machine vision, image processing, and pattern recognition.
Proceedings ArticleDOI
Recovering high dynamic range radiance maps from photographs
Paul Debevec,Jitendra Malik +1 more
TL;DR: This work discusses how this work is applicable in many areas of computer graphics involving digitized photographs, including image-based modeling, image compositing, and image processing, and demonstrates a few applications of having high dynamic range radiance maps.
Proceedings Article
Robot vision
TL;DR: A scheme is developed for classifying the types of motion perceived by a humanlike robot and equations, theorems, concepts, clues, etc., relating the objects, their positions, and their motion to their images on the focal plane are presented.