Estimasi Pose Model 3D Dalam Lingkungan Augmented Reality Berbasis Titik Fitur Wajah Menggunakan Metode POSIT

Pratikno, Heri and Hariadi, Mochamad (2012) Estimasi Pose Model 3D Dalam Lingkungan Augmented Reality Berbasis Titik Fitur Wajah Menggunakan Metode POSIT. In: Seminar Nasional Sistem & Teknologi Informasi (SNASTI) 2012, 04 Oktober 2012, Surabaya.

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Abstract

The main problem in objects tracking using cameras is to find the head pose estimation of the objects. In addition, it is necessary to rely on natural features since there is no light generated from the objects. This study aims to estimate the pose of a 3D head models using a single camera in a real-time Augmented Reality (AR) environment that is based on facial feature points. The position of the 3D models are translated into XYZ coordinate axes and rotated to the orientation angle RPY (Roll, Pitch, Yaw). The POSIT (Pose from Ortography and Scale with ITeration) is used for the pose estimation. The position and orientation of the 3D models are projected to facial feature points orthographically. In order to get the best pose, four to five iterations are performed in order to achieve the minimal error factor. The final results of this study can be considered as real-time systems as it can achieve 16 frames per second with an average angle rotational accuracy of 0.83o and translational deviation of 1.67 vector units.

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