Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. / Structure from Motion suggests that an object or scene’s three-dimensional
structure can be determined from its observed two-dimensional motion. Human
efforts, manifested in computer algorithms, try to mimic the enormous
power of the visual processing capabilities of the human brain. We present
an algorithm to estimate structure, using the Unscented Kalman Filter, from
the motion of point-wise features, produced by the Kanade-Lucas-Tomasi feature
tracker. The algorithm is evaluated critically against an extensive set of
motion sequences, with special attention paid to facial feature reconstruction.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:sun/oai:scholar.sun.ac.za:10019.1/2875 |
| Date | 03 1900 |
| Creators | Rautenbach, Pieter Albertus |
| Contributors | Du Preez, J. A., Herbst, B. M., University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. |
| Publisher | Stellenbosch : University of Stellenbosch |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Rights | University of Stellenbosch |
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