[1. ELLIS, H.D. 1984. Practice aspects of face memory. Wells, G.R. and Loftus, E.F., editors, Eyewitness Testimony.Psychological Perspectives. England: Cambridge University Press, pp. 12-37.]Search in Google Scholar
[2. DAVIES, G. et al. 2000. Facial composite production: A comparison of mechanical and computer-driven systems. Journal of Applied Psychology, p. 119.]Search in Google Scholar
[3. FROWD, Charlie D.; HANCOCK, Peter JB; CARSON, Derek. 2004. EvoFIT: A holistic, evolutionary facial imaging technique for creating composites. ACM Transactions on Applied Perception (TAP), 1.1: 19-39.]Search in Google Scholar
[4. KURT, Binnur, et al. 2006. Active appearance model-based facial composite generation with interactive nature-inspired heuristics. In: Multimedia Content Representation, Classification and Security. Springer Berlin Heidelberg, p. 183-190.]Search in Google Scholar
[5. GIBSON, Stuart J.; SOLOMON, Christopher J.; BEJARANO, Alvaro. 2003. Pallares Synthesis of Photographic Quality Facial Composites using Evolutionary Algorithms. In: BMVC, pp. 1-10.]Search in Google Scholar
[6. SOLOMON, Christopher J., GIBSON, Stuart J., MIST, Joseph J. 2013. Interactive evolutionary generation of facial composites for locating suspects in criminal investigations. Applied Soft Computing, pp. 3298-3306.]Search in Google Scholar
[7. SIMS, Karl. 1991. Artificial evolution for computer graphics. ACM, pp. 319-328.]Search in Google Scholar
[8. Frowd, Charlie; HEPTON, Gemma. 2009. The benefit of hair for the construction of facial composite images. British Journal of Forensic Practice, pp. 15-26.]Search in Google Scholar
