This book is an introduction to computer graphics with an emphasis on applica- tions programming. The first edition, which was published in 1997, was somewhat revolutionary in using OpenGL and a top-down approach. Over the succeeding 16 years and 6 editions, this approach has been adopted by most introductory classes in computer graphics and by virtually all the competing textbooks. The sixth edition reflected the recent major changes in graphics software due to major changes in graphics hardware. In particular, the sixth edition was fully shaderbased, enabling readers to create applications that could fully exploit the capabilities of modern GPUs. We noted that these changes are also part of OpenGL ES 2.0, which is being used to develop applications for embedded systems and handheld devices, such as cell phones and tablets, and of WebGL, its JavaScript implementation. At the time, we did not anticipate the extraordinary interest in WebGL that began as soon as web browsers became available that support WebGL through HTML5. As we continued to write our books, teach our SIGGRAPH courses, and pursue other graphics-related activities, we became aware of the growing excitement about WebGL. WebGL applications were running everywhere, including on some of the latest smart phones, and even though WebGL lacks some of the advanced features of the latest versions of OpenGL, the ability to integrate it with HTML5 opened up a wealth of new application areas. As an added benefit, we found it much better suited than desktop OpenGL for teaching computer graphics. Consequently, we decided to do a seventh edition that uses WebGL exclusively. We believe that this edition is every bit as revolutionary as any of the previous editions.

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随着计算机视觉方向的发展与各种开源库的涌现，目标检测与图像识别的步骤也越来越规范并且趋于简单化。 本次大作业采用Pycharm编辑器，应用Python的OpenCV图像处理库，基于深度学习的卷积神经网络来识别图像中的手写的大写英文字母。具体功能步骤是：对图像进行切片、目标检测、图像识别、图像定位、识别出来的字母重新写入到图片中。

PRML 机器学习 模式识别 中英文两版，哈工大 马春鹏 翻译

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