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Eye reconstruction, on the other hand, has received only little attention, and the current state-of-the-art method is cumbersome for the actor, time-consuming, and requires carefully setup and calibrated hardware. These constraints currently make eye capture impractical for general use. We present the first approach for high-quality\n            <jats:italic>lightweight<\/jats:italic>\n            eye capture, which leverages a database of pre-captured eyes to guide the reconstruction of new eyes from much less constrained inputs, such as traditional single-shot face scanners or even a single photo from the internet. This is accomplished with a new parametric model of the eye built from the database, and a novel image-based model fitting algorithm. Our method provides both automatic reconstructions of real eyes, as well as artistic control over the parameters to generate user-specific eyes.\n          <\/jats:p>","DOI":"10.1145\/2897824.2925962","type":"journal-article","created":{"date-parts":[[2016,7,11]],"date-time":"2016-07-11T16:04:33Z","timestamp":1468253073000},"page":"1-12","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":50,"title":["Lightweight eye capture using a parametric model"],"prefix":"10.1145","volume":"35","author":[{"given":"Pascal","family":"B\u00e9rard","sequence":"first","affiliation":[{"name":"ETH Zurich and Disney Research"}]},{"given":"Derek","family":"Bradley","sequence":"additional","affiliation":[{"name":"Disney Research"}]},{"given":"Markus","family":"Gross","sequence":"additional","affiliation":[{"name":"ETH Zurich and Disney Research"}]},{"given":"Thabo","family":"Beeler","sequence":"additional","affiliation":[{"name":"Disney Research"}]}],"member":"320","published-online":{"date-parts":[[2016,7,11]]},"reference":[{"key":"e_1_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/882262.882311"},{"key":"e_1_2_2_2_1","volume-title":"Computer Vision and Pattern Recognition, 2007. 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