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Towards an Automatic Estimation of Skeletal Age Using k-NN Regression with a Reduced Set of Tinny Aligned Regions of Interest.

, , , , , , and . MICAI (2), volume 10633 of Lecture Notes in Computer Science, page 282-293. Springer, (2017)

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Recovering 3D Shape and Albedo from a Face Image under Arbitrary Lighting and Pose by Using a 3D Illumination-Based AAM Model., , and . ICIAR, volume 5627 of Lecture Notes in Computer Science, page 584-593. Springer, (2009)Towards an Illumination-Based 3D Active Appearance Model for Fast Face Alignment., , and . CIARP, volume 5197 of Lecture Notes in Computer Science, page 568-575. Springer, (2008)A Simple View-Based Software Architecture for an Autonomous Robot Navigation System., , , and . ICIAR, volume 9164 of Lecture Notes in Computer Science, page 287-296. Springer, (2015)A Supervised Incremental Learning Technique for Automatic Recognition of the Skeletal Maturity, or can a Machine Learn to Assess Bone Age Without Radiological Training from Experts?, , , , , , and . IJPRAI, 32 (1): 1860002:1-1860002:16 (2018)Automatic face interpretation using fast 3D illumination-based AAM models., , and . Computer Vision and Image Understanding, 115 (2): 194-210 (2011)Towards a Supervised Incremental Learning System for Automatic Recognition of the Skeletal Age., , , , , and . MCPR, volume 9703 of Lecture Notes in Computer Science, page 346-355. Springer, (2016)Interpreting Face Images by Fitting a Fast Illumination-Based 3D Active Appearance Model., , and . MIRAGE, volume 5496 of Lecture Notes in Computer Science, page 368-379. Springer, (2009)Towards an Automatic Estimation of Skeletal Age Using k-NN Regression with a Reduced Set of Tinny Aligned Regions of Interest., , , , , , and . MICAI (2), volume 10633 of Lecture Notes in Computer Science, page 282-293. Springer, (2017)