Papers 3D Face Modelling
“3D Face Modelling” 태그가 달린 논문 31편 · 필터 해제
3D Face From X: Learning Face Shape from Diverse Sources
We present a novel method to jointly learn a 3D face parametric model and 3D face reconstruction from diverse sources. Previous methods usually learn 3D face modeling from one kind of source, such as scanned data or in-t…
3D Face Modelling3D Face ReconstructionFace ModelFace ReconstructionGenerating 3D faces using Convolutional Mesh Autoencoders
Learned 3D representations of human faces are useful for computer vision problems such as 3D face tracking and reconstruction from images, as well as graphics applications such as character generation and animation. Trad…
3D Face ModellingFace AlignmentFace ModelLearning a model of facial shape and expression from 4D scans
he field of 3D face modeling has a large gap between high-end and low-end methods. At the high end, the best facial animation is indistinguishablefrom real humans, but this comes at the cost of extensive manual labor. At…
3D Face Animation3D Face Modelling3D Face ReconstructionFace Alignment+2A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment
Face analysis techniques have become a crucial component of human-machine interaction in the fields of assistive and humanoid robotics. However, the variations in head-pose that arise naturally in these environments are …
3D Face ModellingFace RecognitionRobust Face RecognitionA Robust Multilinear Model Learning Framework for 3D Faces
Multilinear models are widely used to represent the statistical variations of 3D human faces as they decouple shape changes due to identity and expression. Existing methods to learn a multilinear face model degrade if no…
3D Face ModellingFace ModelSemantic correspondenceA Groupwise Multilinear Correspondence Optimization for 3D Faces
Multilinear face models are widely used to model the space of human faces with expressions. For databases of 3D human faces of different identities performing multiple expressions, these statistical shape models decouple…
3D Face ModellingFace ModelFacial Feature Point Detection: A Comprehensive Survey
This paper presents a comprehensive survey of facial feature point detection with the assistance of abundant manually labeled images. Facial feature point detection favors many applications such as face recognition, anim…
3D Face ModellingFace AlignmentFace RecognitionHallucination+3DeepFace: Closing the Gap to Human-Level Performance in Face Verification
In modern face recognition, the conventional pipeline consists of four stages: detect => align => represent => classify. We revisit both the alignment step and the representation step by employing explicit 3D face modeli…
3D Face ModellingFace RecognitionFace Verification3D faces in motion: Fully automatic registration and statistical analysis
This paper presents a representation of 3D facial motion sequences that allows performing statistical analysis of 3D face shapes in motion. The resulting statistical analysis is applied to automatically generate realisti…
3D Face Animation3D Face ModellingFace AlignmentFace ModelReview of Statistical Shape Spaces for 3D Data with ComparativeAnalysis for Human Faces
With systems for acquiring 3D surface data being evermore commonplace, it has become important to reliably extract specific shapes from the acquired data. In the presence of noise and occlusions, this can be done throug…
3D Face ModellingFace ModelFace ReconstructionMultilinear Wavelets: A Statistical Shape Space for Human Faces
We present a statistical model for $3$D human faces in varying expression, which decomposes the surface of the face using a wavelet transform, and learns many localized, decorrelated multilinear models on the resulting c…
3D Face Modelling3D Face ReconstructionFace ModelFace Reconstruction