지도학습 (20) 썸네일형 리스트형 Learning Facial Expressions with 3D Mesh Convolutional Neural Network Learning Facial Expressions with 3D Mesh Convolutional Neural Network Making machines understand human expressions enables various useful applications in human-machine interaction. In this article, we present a novel facial expression recognition approach with 3D Mesh Convolutional Neural Networks (3DMCNN) and a visual analytics-guided 3DMCNN design and optimization scheme. From an RGBD camera, .. Point cloud based deep convolutional neural network for 3D face recognition Point cloud based deep convolutional neural network for 3D face recognition 3D 얼굴 인식을위한 포인트 클라우드 기반 심층 컨볼 루션 신경망 Abstract Face recognition is a challenging task as it has to deal with several issues such as illumination, orientation, and variability among the different faces. Previous works have shown that 3D face is a robust biometric trait, and is less sensitive to light and pose variations. A.. Surface Feature Detection and Description with Applications to Mesh Matching, 2009 Surface Feature Detection and Description with Applications to Mesh Matching 메시 매칭에 대한 애플리케이션을 통한 표면 특징 감지 및 설명 Abstract In this paper we revisit local feature detectors/descriptors developed for 2D images and extend them to the more general framework of scalar fields defined on 2D manifolds. We provide methods and tools to detect and describe features on surfaces equiped with scalar functions, .. 3D Face Mesh Modeling for 3D Face Recognition, 2009 3D Face Mesh Modeling for 3D Face Recognition 3D 얼굴 인식을위한 3D 얼굴 메시 모델링 1. Introduction Face recognition has rapidly emerged as an important area of research within many scientific and engineering disciplines. It has attracted research institutes, commercial industries, and numerous government agencies. This fact is evident by the existence of large number of face recognition conferences such as .. Face recognition based on 3D mesh model,2004 Face recognition based on 3D mesh model 3D 메쉬 모델 기반 얼굴 인식 Abstract This paper proposes the automatic face recognition method based on the face representation with a 3D mesh, which precisely reflects the geometric features of the specific subject. The mesh model is generated by using nonlinear subdivision scheme and fitting with the 3D point cloud, and describes the deep information of human face.. Data-Free Point Cloud Network for 3D Face Recognition Data-Free Point Cloud Network for 3D Face Recognition 3D 얼굴 인식을위한 데이터없는 포인트 클라우드 네트워크 Abstract Point clouds-based Networks have achieved great attention in 3D object classification, segmentation and indoor scene semantic parsing. In terms of face recognition, 3D face recognition method which directly consume point clouds as input is still under study. Two main factors account for this: One is ho.. [ML]Haar Cascade classifier Rapid Object Detection using a Boosted Cascade of Simple Features 간단한 기능의 향상된 캐스케이드를 사용한 신속한 물체 감지 Abstract This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This work is distinguished by three key contributions. The first is the introduction of a new image representation called.. PyramidBox : A Context-assisted Single Shot Face Detector. PyramidBox: A Context-assisted Single Shot Face Detector. PyramidBox : 상황에 맞는 단일 샷 얼굴 감지기. Abstract. Face detection has been well studied for many years and one of remaining challenges is to detect small, blurred and partially occluded faces in uncontrolled environment. This paper proposes a novel contextassisted single shot face detector, named PyramidBox to handle the hard face detection probl.. 이전 1 2 3 다음 목록 더보기
