由于bundle adjustment算法计算复杂度高，时间花费过多，所以选择了sparse bundle adjustment，该算法可参考multiple view geometry in computer vision 书中的附录6，另外这个文件也包含一篇介绍parse bundle adjustment以及如何使用该代码的文档

This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising, restoration, separation, interpolation and extrapolation, compression, sampling, analysis and synthesis, detection, recognition, and more. The presentation is elegant and engaging. Sparse and Red undant Representations is intended for graduate students in applied mathematics and electrical engineering, as well as applied mathematicians, engineers, and researchers who are active in the fields of signal and image processing.

这个是稀疏编码应用与人脸识别，有算法的参考文献集matlab代码，供大家学习参考