نتایج جستجو برای: 3d face modeling

تعداد نتایج: 712992  

Journal: :CoRR 2017
Syed Zulqarnain Gilani Ajmal Mian

Deep networks trained on millions of facial images are believed to be closely approaching human-level performance in face recognition. However, open world face recognition still remains a challenge. Although, 3D face recognition has an inherent edge over its 2D counterpart, it has not benefited from the recent developments in deep learning due to the unavailability of large training as well as ...

Journal: :International Journal of Future Computer and Communication 2013

Journal: :International Journal on Intelligent Electronic Systems 2014

Journal: :Human-centric Computing and Information Sciences 2018

2016
Luis Almeida Paulo Menezes Jorge Dias

This paper presents a framework for on-line incremental 3D modeling useful for human computer interaction or telepresence applications. We aim a free viewpoint approach based on user’s realistic representation to simulate a real face-to-face meeting. Our contribution includes a new adaptation of the Crust algorithm for incremental reconstruction purposes and, a confidence method that evaluates ...

1998
Christian Schütz Timothée Jost Heinz Hügli

Manual object digitizing is a tedious task and can be replaced by 3D scanners which provide an accurate and fast way to digitize solid objects. Since only one view of an object can be captured at once, several views have to be combined in order to obtain a description of the complete surface. In this paper a digitizing system is proposed which captures and triangulates views of a real world 3D ...

2018
Feng Liu Ronghang Zhu Dan Zeng Qijun Zhao Xiaoming Liu

This paper proposes an encoder-decoder network to disentangle shape features during 3D face reconstruction from single 2D images, such that the tasks of reconstructing accurate 3D face shapes and learning discriminative shape features for face recognition can be accomplished simultaneously. Unlike existing 3D face reconstruction methods, our proposed method directly regresses dense 3D face shap...

Journal: :Dental Press Journal of Orthodontics 2010

Journal: :Complexity 2021

Through the analysis of facial feature extraction technology, this paper designs a lightweight convolutional neural network (LW-CNN). The LW-CNN model adopts separable convolution structure, which can propose more accurate features with fewer parameters and extract 3D points human face. In order to enhance accuracy extraction, face detection method based on inverted triangle structure is used d...

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