Light Sight was created as part of my final research-creation project during the course of my MA studies in animation at Tehran University of Art. It was published in 2016 and was screened in many festivals around the world and won several national and international awards. Please refer to Animanama for the complete list of attended/awarded festivals, and IMDB page for more information.
“M.E., the imprisoned character in a room is attracted in a hanging light and tries to catch it. But the room itself becomes an obstacle on his way.”
This film was accompanied with my thesis around the topic of 3D character performance in a linear narrative. It was later condensed and translated in an article in English tilted: Plausibility of 3D characters: Towards a 2nd Uncanny Valley.
This paper overviews existing plausibility measures of 3D narrative animations with a focus on analyzing the realism of 3D characters and their performances. The main intent of this survey is to critically review factors that affect an overall perceptual sense of realism. Media literature addressing formal realism is connected to the technical facets of the 3D practice. This theoretical-technical bridge creates a case study database, from which a novel graphical system called The Character Plausibility Graph is proposed. The Character Plausibility Graph acts as an expanded edition of the well-known Uncanny Valley diagram, and depicts the relative effects of different formal visual elements on the character’ sense of plausibility. The proposed graph is a dissection of a 3D character into its static and kinetic components and hence provides a visual tool to reflect upon the effects individually. This research concludes that stylization better serves the overall sense of plausibility than mere photo-realism or naturalism. It also reveals that performance of the characters and their animating method play a more significant role in the constitution of their realism, than their static design and rendering style.