本課程有一系列 課堂講稿。同時包含許多由授課教師所編寫的相關閱讀材料。課程議題緊密相應於課程教科書的內容。

This course features a set of lecture notes. Related readings, many authored by the instructor, are included also. The topics follow closely the instructor's textbook.

機器視覺課程，對於由一個圖像所產生之環境的符號性描述過程，進行了密集的介紹。課程敍述了圖像格式、運動視覺以及由陰影恢復其形貌的物理學原理。二值化圖像的處理和濾波技術將作為圖像預處理步驟被介紹。進一步的課題則涵蓋了照相測量學、物體表現平面圖、類比超大型積體電路（VLSI）以及計算視覺技術。此外，機器視覺在機器人和智慧設備交互方面的應用，也將在本課程中被進一步討論。

Machine Vision provides an intensive introduction to the process of generating a symbolic description of an environment from an image. Lectures describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps. Further topics include photogrammetry, object representation alignment, analog VLSI and computational vision. Applications to robotics and intelligent machine interaction are discussed.