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High-Speed Range Estimation Based on Intensity Gradient Analysis (Paperback, Softcover reprint of the original 1st ed. 1991)
Loot Price: R1,525
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High-Speed Range Estimation Based on Intensity Gradient Analysis (Paperback, Softcover reprint of the original 1st ed. 1991)
Series: Springer Series in Perception Engineering
Expected to ship within 10 - 15 working days
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A fast and reasonably accurate perception of the environment is
essential for successful navigation of an autonomous agent.
Although many modes of sensing are applicable to this task and have
been used, vision remains the most appealing due to its passive
nature, good range, and resolution. Most vision techniques to
recover depth for navigation use stereo. In the last few years,
researchers have started studying techniques to combine stereo with
the motion of the camera. Skifstad's dissertation proposes a new
approach to recover depth information using known camera motion.
This approach results in a robust technique for fast estimation of
distances to objects in an image using only one translating camera.
A very interesting aspect of the approach pursued by Skifstad is
the method used to bypass the most difficult and computationally
expensive step in using stereo or similar approaches for the
vision-based depth esti mation. The correspondence problem has been
the focus of research in most stereo approaches. Skifstad trades
the correspondence problem for the known translational motion by
using the fact that it is easier to detect single pixel disparities
in a sequence of images rather than arbitrary disparities after two
frames. A very attractive feature of this approach is that the
computations required to detect single pixel disparities are local
and hence can be easily parallelized. Another useful feature of the
approach, particularly in naviga tion applications, is that the
closer objects are detected earlier."
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