By James F. Peters
This ebook introduces the basics of desktop imaginative and prescient (CV), with a spotlight on extracting beneficial info from electronic pictures and movies. together with a wealth of equipment utilized in detecting and classifying picture items and their shapes, it's the first e-book to use a trio of instruments (computational geometry, topology and algorithms) in fixing CV difficulties, form monitoring in photograph item reputation and detecting the repetition of shapes in unmarried photos and video frames. Computational geometry offers a visualization of topological buildings reminiscent of neighborhoods of issues embedded in photos, whereas photograph topology provides us with constructions helpful within the research and classiﬁcation of picture areas. Algorithms supply a realistic, step by step technique of viewing picture structures.
The implementations of CV tools in Matlab and Mathematica, classiﬁcation of bankruptcy issues of the symbols (easily solved) and (challenging) and its huge thesaurus of key terms, examples and connections with the material of CV make the e-book a useful source for complicated undergraduate and ﬁrst 12 months graduate scholars in Engineering, desktop technology or utilized Mathematics.
It deals insights into the layout of CV experiments, inclusion of snapshot processing equipment in CV tasks, in addition to the reconstruction and interpretation of recorded usual scenes.
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Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection (Intelligent Systems Reference Library) by James F. Peters