چکیده مقاله
Head pose estimation is a challenging task for many computer vision systems, such as face detection and face recognition In recent years, several methods have been proposed for head pose estimation However, most of the proposed methods in this area are based on facial feature detection and location of facial features such as eyes and nose tip is necessary for accurate head pose estimation in them Although some of these methods have perfect performance for small and medium about ±45° head pose angles, uncontrolled conditions such as illumination and occlusion can affect the facial feature detection and pose estimation performance In this paper, we propose a holistic pose estimation method with low computational cost which is based on linear reconstruction of a face image over its nearest neighbors in training images, regardless of facial feature locations The proposed method benefits from the assumption that the reconstruction of a face image in an arbitrary pose p from training images in pose p has less error than the reconstruction of that image from training images in other poses Extensive experiments are conducted on FacePix and CMU PIE face databases to verify the efficacy and accuracy of the proposed method
کلیدواژهها
نویسندگان
Ali Farahani
Department of Computer Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
Hadis Mohseni
Young Researchers Society, Shahid Bahonar University of Kerman, Kerman, Iran
شیوه ارجاع
Farahani, Ali and Mohseni, Hadis,1395,Head pose estimation using KNN based image reconstruction,4th National Congress of Electrical and Computer Engineering of Iran,Tehran
ارائهشده در
مجموعه مقالات چهارمین کنفرانس بین المللی مهندسی برق و کامپیوتر23 دی 1395 · تهران