This text discusses the mathematical foundations of statistical inference for building 3-dimensional models from image and sensor data that contain noise - a task involving autonomous robots guided by video cameras and sensors. The text employs a theoretical accuracy for the optimization procedure, which maximizes the reliability of estimations based on noise data. 1996 edition.

Скачать книгу бесплатно (pdf, 21.41 Mb)

---

Читать «Statistical Optimization for Geometric Computation: Theory and Practice»