Abstract
Micro expression analysis has been visually perceived as an abundance of advancement in recent years due to availability of frugal acquisition cameras and computational contrivances. Though datasets for micro expression analysis are available but even this advancement has still not reached to that caliber where we can built an automatic micro expression system just like automatic macro expression recognition system. Researchers have put their best efforts to develop the system for automatic facial expression analysis to recognize basic emotion which include jubilant, sad, irate, penitence, fear and surprise. The micro expression analysis task is quite challenging and fascinating due to advacement in automaticity in many fields of life. To address these challenges in a systematic manner, authors have endeavored to present a detailed analysis of the work done till date in micro expression field. The detailed description includes preprocessing and feature extraction. The advantages and disadvantages listed in this paper provide an impetus toward the future work and avail in culling an area of research in this field.
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Rani, M., Rathee, N. (2021). Microexpression Analysis: A Review. In: Abraham, A., Castillo, O., Virmani, D. (eds) Proceedings of 3rd International Conference on Computing Informatics and Networks. Lecture Notes in Networks and Systems, vol 167. Springer, Singapore. https://doi.org/10.1007/978-981-15-9712-1_11
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DOI: https://doi.org/10.1007/978-981-15-9712-1_11
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