This chapter presents a state-of-the-art compilation on facial motion and expression analysis. The core of the chapter includes the description and comparison of methods currently being developed and tested to generate face animation from monocular static images and/or video sequences. These methods are categorized into three major groups: “those that retrieve emotion information,” “those that obtain parameters related to the Face Animation synthesis used,” and “those that use explicit face synthesis during the image analysis.” A general overview about the processing fundamentals involved in facial analysis is also provided. Readers will have a clear understanding of the ongoing research performed in the field of facial expression and motion analysis on monocular images by easily finding the right references to the detailed description of all mentioned methods.