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Face Alignment In Full Pose Range: A 3D Total Solution

Xiangyu Zhu, xiaoming Liu, Zhen Lei, Stan Z. Li
2017 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this paper, we propose a solution to the three problems in an new alignment framework, called 3D Dense Face Alignment (3DDFA), in which a dense 3D face model is fitted to the image via convolutional  ...  However, most algorithms are designed for faces in small to medium poses (below 45 degree), lacking the ability to align faces in large poses up to 90 degree.  ...  In this paper, we aim to solve the problem of face alignment in full pose range, where the yaw angle is allowed to vary between ±90 • .  ... 
doi:10.1109/tpami.2017.2778152 pmid:29990058 fatcat:kbvlr73ra5cl5jcrsmg4s7eezm

Automatic 3D face verification from range data

Gang Pan, Zhaohui Wu, Yunhe Pan
2003 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)  
In this paper, we presented a novel approach for automatic 3D face verification from range data. The method consists of range data registration and comparison.  ...  There are two steps in registration procedure: the coarse step conducting the normalization by exploiting a priori knowledge of the human face and facial features, and the fine step aligning the input  ...  In this paper, a novel method for full automatic 3D face verification from range data is presented.  ... 
doi:10.1109/icme.2003.1221266 dblp:conf/icmcs/PanWP03 fatcat:glvg5wbz7jh4fe2kqwl6eoczqi

Integrating Range and Texture Information for 3D Face Recognition

Xiaoguang Lu, A.K. Jain
2005 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1  
For each subject, a 3D face model is constructed by integrating several 2.5D face scans from different viewpoints. A 2.5D scan is composed of one range image along with a registered 2D color image.  ...  Experimental results are given for matching a database of 100 3D face models with 598 2.5D independent test scans acquired in different pose and lighting conditions, and with some smiling expression.  ...  (a) One profile range scan viewed at different viewpoints; (b) a full 3D model. Figure 2 . 2 Face recognition based on combination of shape and appearance-based features.  ... 
doi:10.1109/acvmot.2005.64 dblp:conf/wacv/LuJ05a fatcat:xill3sf4q5fdze6klru4r4xpoq

Accurate and Automatic Alignment of Range Surfaces

Simone Fantoni, Umberto Castellani, Andrea Fusiello
2012 2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission  
This paper describes an automatic pipeline that is able to take a set of unordered range images and align them into a full 3D model.  ...  Then a multiple view registration approach is introduced, which aims at optimizing the alignment error simultaneously for all the views. Experiments demonstrate the effectiveness of the method.  ...  Corsini (IST-CNR, Pisa) for providing the range scans. A. F. is now with the University of Udine. S. F. is now with 3Dflow srl.  ... 
doi:10.1109/3dimpvt.2012.63 dblp:conf/3dim/FantoniCF12 fatcat:yglwyfv3wbbxdcguyaqoti7uz4

Three-Dimensional Human Head Reconstruction Using Smartphone-Based Close-Range Video Photogrammetry

Dalius Matuzevičius, Artūras Serackis
2021 Applied Sciences  
Creation of head 3D models from videos or pictures of the head by using close-range photogrammetry techniques has many applications in clinical, commercial, industrial, artistic, and entertainment areas  ...  This work aims to create a methodology for improving 3D head reconstruction, with a focus on using selfie videos as the data source.  ...  points (±SD) extracted in images; 5 , 6 average number of points (±SD) in point clouds of the full head and only in the face region, respectively.  ... 
doi:10.3390/app12010229 fatcat:jor22if4tnbefodw2xymzmstn4

Robust real-time 3D head pose estimation from range data

Sotiris Malassiotis, Michael G. Strintzis
2005 Pattern Recognition  
In this paper a real-time 3D pose estimation algorithm using range data is described. The system relies on a novel 3D sensor that generates a dense range image of the scene.  ...  Efficient face detection using global features and exploitation of prior knowledge along with novel feature localization and tracking techniques are described.  ...  A 3D pose compensation technique from range images of the face (using a reference frontal face image) is presented in [14] and demonstrated for small head rotations.  ... 
doi:10.1016/j.patcog.2004.11.020 fatcat:6sjlcxgbxfgb5fvazcztqr3nbm

High-precision localization using visual landmarks fused with range data

Zhiwei Zhu, Han-Pang Chiu, Taragay Oskiper, Saad Ali, Raia Hadsell, Supun Samarasekera, Rakesh Kumar
2011 CVPR 2011  
In this paper, we demonstrated that with the use of precise 3D Lidar range data, we are able to build a global consistent database of high precision 3D visual landmarks, which improves the landmark matching  ...  In order to further improve the accuracy and robustness, landmark matching is fused with a multi-stereo based visual odometry system to estimate the camera pose in two aspects.  ...  As the robot traverses the training site (autonomously or usercontrolled), it stops at regular intervals and pans for 180 de-grees, recording full omni-directional visual and 3D range data at each position  ... 
doi:10.1109/cvpr.2011.5995463 dblp:conf/cvpr/ZhuCOAHSK11 fatcat:idaflab7rndw7fjsho3ok5rxwy

Information-driven 6D SLAM based on ranging vision

Weizhen Zhou, J. Valls Miro, G. Dissanayake
2008 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems  
This paper presents a novel solution for building three-dimensional dense maps in unknown and unstructured environment with reduced computational costs.  ...  The strategy is generic to any 3D feature-based simultaneous localization and mapping (SLAM) algorithm in the information form, but in the work presented here it is closely coupled to a proposed novel  ...  For full 6 DoF SLAM, the state vector X contains a set of 3D features and a set of camera poses.  ... 
doi:10.1109/iros.2008.4651126 dblp:conf/iros/ZhouMD08 fatcat:jzmagru4mrdkni7rqsovsj6oz4

Evaluation of Laser Range-Finder Mapping for Agricultural Spraying Vehicles [chapter]

Francisco-Angel Moreno, Grzegorz Cielniak, Tom Duckett
2014 Lecture Notes in Computer Science  
We evaluate the proposed solution in a series of field tests, demonstrating that the approach provides a more detailed and accurate representation of the environment than the current sonar-based solution  ...  To overcome these limitations, we propose to use a laser scanner, attached to the front of the sprayer's cabin, to scan the ground surface in front of the vehicle and to build a scrolling 3d map of the  ...  Acknowledgment This project was supported by a BBSRC SPARK Award, in collaboration with Househam Sprayers Ltd.  ... 
doi:10.1007/978-3-662-43645-5_22 fatcat:jck5mvezzvav3axvdc3dfscage

Self-Supervised Localisation between Range Sensors and Overhead Imagery [article]

Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman
2020 arXiv   pre-print
We present a learned metric localisation method that not only handles the modality difference, but is cheap to train, learning in a self-supervised fashion without metrically accurate ground truth.  ...  However, satellite images are not directly comparable to data from ground range sensors because of their starkly different modalities.  ...  A number of works are proposed to localise a forward facing camera against a prior 3D point-cloud map [43, 11, 47] .  ... 
arXiv:2006.02108v2 fatcat:ao2364hxnnbodcga7y7ascncna

Human pose estimation from a single view point, real-time range sensor

Matheen Siddiqui, Gerard Medioni
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops  
We estimate and track articulated human poses in sequences from a single view, real-time range sensor.  ...  We use a data driven MCMC approach to find an optimal pose based on a likelihood that compares synthesized depth images to the observed depth image.  ...  We can thus use this method in a calibration phase on the initial frames before processing using our pose estimation system.  ... 
doi:10.1109/cvprw.2010.5543618 dblp:conf/cvpr/SiddiquiM10 fatcat:2s2qlunm6ffi3bmgpoxyiy67gu

Fluorescent immersion range scanning

Matthias B. Hullin, Martin Fuchs, Ivo Ihrke, Hans-Peter Seidel, Hendrik P. A. Lensch
2008 ACM Transactions on Graphics  
The quality of a 3D range scan should not depend on the surface properties of the object.  ...  Most active range scanning techniques, however, assume a diffuse reflector to allow for a robust detection of incident light patterns. In our approach we embed the object into a fluorescent liquid.  ...  Ivo Ihrke was supported by a Feodor Lynen fellowship of the Humboldt Foundation.  ... 
doi:10.1145/1360612.1360686 fatcat:6dldknozfnhr7l5waas6gk3qcy

Fluorescent immersion range scanning

Matthias B. Hullin, Martin Fuchs, Ivo Ihrke, Hans-Peter Seidel, Hendrik P. A. Lensch
2008 ACM SIGGRAPH 2008 papers on - SIGGRAPH '08  
The quality of a 3D range scan should not depend on the surface properties of the object.  ...  Most active range scanning techniques, however, assume a diffuse reflector to allow for a robust detection of incident light patterns. In our approach we embed the object into a fluorescent liquid.  ...  Ivo Ihrke was supported by a Feodor Lynen fellowship of the Humboldt Foundation.  ... 
doi:10.1145/1399504.1360686 fatcat:epchcnbv2ze63avwb64wr7fh6a

It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection [article]

Meytal Rapoport-Lavie, Dan Raviv
2020 arXiv   pre-print
This work presents a novel approach for analyzing 3D data produced by 360-degree depth scanners, utilizing a more suitable coordinate system, which is aligned with the scanning pattern.  ...  Modern perception systems in the field of autonomous driving rely on 3D data analysis.  ...  Range-Guided Backbone: In the first block of our proposed solution, we introduce the range-guided backbone.  ... 
arXiv:2012.03121v1 fatcat:3cuhqjrfvnbklp4x44gcufbqxy

A dynamic programming approach for fast and robust object pose recognition from range images

Christopher Zach, Adrian Penate-Sanchez, Minh-Tri Pham
2015 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
Joint object recognition and pose estimation solely from range images is an important task e.g. in robotics applications and in automated manufacturing environments.  ...  The lack of color information and limitations of current commodity depth sensors make this task a challenging computer vision problem, and a standard random sampling based approach is prohibitively time-consuming  ...  Pose Hypotheses Evaluation Assessing the quality of a pose hypothesis by aligning the 3D model with the range image appears to be straightforward-if the poses are affected by no or minimal noise.  ... 
doi:10.1109/cvpr.2015.7298615 dblp:conf/cvpr/ZachSP15 fatcat:qw7xbhs7jvh23mt4zr7t4iba4q
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