By Boguslaw Cyganek
Item detection, monitoring and popularity in photographs are key difficulties in laptop imaginative and prescient. This booklet offers the reader with a balanced therapy among the idea and perform of chosen equipment in those parts to make the e-book obtainable to quite a number researchers, engineers, builders and postgraduate scholars operating in computing device imaginative and prescient and similar fields.
- Explains the most theoretical principles in the back of each one technique (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and validated operating in actual applications.
- Places an emphasis on tensor and statistical established ways inside item detection and recognition.
- Provides an summary of photo clustering and type tools along with subspace and kernel established processing, suggest shift and Kalman filter out, neural networks, and k-means methods.
- Contains various case research examples of in most cases car applications.
- Includes a spouse internet hosting complete C++ implementation, of issues awarded within the booklet as a software program library, and an accompanying handbook to the software program platform.
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