304-629B Visual-Motor Systems
304-629B Visual-Motor Systems
Literature Review Assignment
Due: March 7, 2001
You are to write up a short review paper on one of the topics listed
below.
The requirements of this paper are as follows:
- Read, and properly cite in your report, at least five journal or
conference papers related to your chosen topic. These papers can not be
ones that were handed out or discussed in class.
- Use all literature search tools at your disposal, such as Peruse, Ovid,
the Science Citation Index, the IEEE Online Library, and browsing
through the journal stacks in the library.
- The report must be written in a consistent style, corresponding to the
requirements of a professional journal (such as one of the IEEE
transactions). Pay special attention to the style for citations and
bibliographic entries.
- The report must be type-written or printed using a laser-printer.
- The report should summarize the important
contributions of the papers that you read, as well as discuss the
the relationships between the papers. You should try to make
connections with the ideas (such as ill-posedness of vision,
regularization, active vision, etc.) that you have encountered in
class.
- The paper should be no more than 10 pages long. You may include copies of
diagrams from the paper if you feel that it aids in the readability of the
report.
Choose your topic from the following list only:
- Active stereo vision algorithms.
- Panoramic image sensing and applications.
- Motion analysis for non-rigid objects.
- Bayesian algorithms for computer vision tasks.
- Markov Random Fields and regularization.
- Application of Mean-Field theory to regularization.
- Camera calibration techniques.
- Projective geometry and structure from motion.
- Automatic camera focussing algorithms.
- Shape from texture algorithms.
- Depth from de-focus algorithms.
- Shape measurement using structured light.
- Shape from shading algorithms that enforce integrability.
- Kalman filter applications to vision tasks.
- Robust statistics applied to Computer Vision.
- Techniques for handling non-Gaussian noise.
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On 13 Feb 2001, 15:26.