NDLI: Dirichlet-tree cascaded Hough forests for continuous head pose estimation

Content Provider	IEEE Xplore Digital Library
Author	Yuanyuan Liu Jingying Chen Haiqing Chen
Copyright Year	2014
Description	Author affiliation: Collaborative & Innovative Center for Educ. Technol. (CICET), Central China Normal Univ., Wuhan, China (Jingying Chen) \|\| Center for E-Learning, Normal Univ., Wuhan, China (Yuanyuan Liu) \|\| Hankou Coll., Wuhan, China (Haiqing Chen)
Abstract	We propose a hierarchical regression approach, Dirichlet-tree cascaded Hough forests (DCHF), which is based on deep learning for continuous head pose estimation in unconstrained environment, e.g., poses, illumination, occlusion, low image resolution, expressions and make-up. First, positive facial patches are learned and extracted from facial area to eliminate the influence of noise. Then, in order to estimate continuous head pose efficiently, multiple probability models are learned in four layers of the DCHF, i.e., the patch's classification, the head pose angles, and offset probabilities mapping in the Hough space in a hierarchical way. Moreover, our algorithm takes a weighted and cascaded Hough voting method, where each positive patch extracted from the face can cast the efficient vote for head pose estimation. Experimental results on different public databases demonstrate the robustness and accuracy of the proposed approach to continuous head pose estimation.
Starting Page	469
Ending Page	474
File Size	579645
Page Count	6
File Format	PDF
ISBN	9781479958351
DOI	10.1109/CISP.2014.7003826
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Head DCHF Databases continuous head pose estimation Noise Estimation Vegetation deep and hierarchical learning Magnetic heads weighted and cascaded Hough voting Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Dirichlet-tree distribution enhanced random forests for facial feature detection

Multi-manifold modeling for head pose estimation

Head Pose Estimation with Combined 2D SIFT and 3D HOG Features

Real time 3D head pose estimation: Recent achievements and future challenges

Effective head pose estimation using Lie Algebrized Gaussians

User's Gaze Tracking System and Its Application Using Head Pose Estimation

Instantaneous real-time head pose at a distance

Head pose estimation based on extended non-negative matrix factorization

Static pose estimation from depth images using random regression forests and hough voting (2012)

Dirichlet-tree cascaded Hough forests for continuous head pose estimation

Similar Documents

Dirichlet-tree distribution enhanced random forests for facial feature detection

Multi-manifold modeling for head pose estimation

Head Pose Estimation with Combined 2D SIFT and 3D HOG Features

Real time 3D head pose estimation: Recent achievements and future challenges

Effective head pose estimation using Lie Algebrized Gaussians

User's Gaze Tracking System and Its Application Using Head Pose Estimation

Instantaneous real-time head pose at a distance

Head pose estimation based on extended non-negative matrix factorization

Static pose estimation from depth images using random regression forests and hough voting (2012)

Dirichlet-tree cascaded Hough forests for continuous head pose estimation