Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.
Organized in a practical problem-and-solution format, More Exceptional C++ picks up where the widely acclaimed Exceptional C++ leaves off, providing successful strategies for solving real-world problems in C++. Drawing from years of in-the-trenches experience, Herb Sutter provides tested techniques and practical solutions for programmers designing modern software systems with C++, from small projects to enterprise applications.
WSNs being energy constrained systems, one major problem is to employ the sensor nodes in such a manner so as to ensure maximum coverage and connectivity with minimal or optimal number of nodes and furthermore elongate network lifetime with maximum energy utilization.
The problem addressed has been tackled for 1-D linear array and further extended to 2-Dimensions as stated in the next slides.
This thesis presents a comprehensive overview of the problem of facial recognition. A survey of available facial detection algorithms as well as implementation and tests of di鏗€erent feature extraction and dimensionality reduction methods and light normalization methods are presented.
