Pose Normalization based on Kernel ELM Regression for Face Recognition

No abstract is available for this paper.

• Publication year

  2017

• Venue

  International Journal of Image, Graphics and Signal Processing

• Publication date

  2017-05-08

• Fields of study

  Computer Science

• Identifiers
  DOI 10.5815/IJIGSP.2017.05.07
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Robust pose normalization for face recognition under varying views

  2015cited by this paper
• High-fidelity Pose and Expression Normalization for face recognition in the wild

  2015cited by this paper
• A Novel Pose Tolerant Face Recognition Approach

  2014cited by this paper
• An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

  2014cited by this paper
• Pose-Invariant Face Recognition Using Markov Random Fields

  2013cited by this paper
• Robust Face Recognition for Uncontrolled Pose and Illumination Changes

  2013cited by this paper
• Continuous Pose Normalization for Pose-Robust Face Recognition

  2012cited by this paper
• Extreme Learning Machine for Regression and Multiclass Classification

  2012cited by this paper
• Fully automatic pose-invariant face recognition via 3D pose normalization

  2011cited by this paper
• Component-wise pose normalization for pose-invariant face recognition

  2009cited by this paper
• Deterministic Neural Classification

  2008cited by this paper
• Face Recognition: A Literature Review

  2008cited by this paper
• Kernel-Based Pose Invariant Face Recognition

  2007cited by this paper
• Locally Linear Regression for Pose-Invariant Face Recognition

  2007influential reference
• Extreme learning machine: Theory and applications

  2006cited by this paper
• Face recognition from a single image per person: A survey

  2006cited by this paper
• Three-dimensional view-invariant face recognition using a hierarchical pose-normalization strategy

  2006cited by this paper
• Efficient 3D reconstruction for face recognition

  2005cited by this paper
• Appearance-based face recognition and light-fields

  2004cited by this paper
• Extreme learning machine: a new learning scheme of feedforward neural networks

  2004cited by this paper
• Pose normalization for robust face recognition based on statistical affine transformation

  2003cited by this paper
• Face Recognition Based on Fitting a 3D Morphable Model

  2003cited by this paper
• Pose-invariant face recognition using a 3D deformable model

  2003cited by this paper
• Face recognition: A literature survey

  2003cited by this paper
• Eigen light-fields and face recognition across pose

  2002cited by this paper
• MASSACHUSETTS INSTITUTE OF TECHNOLOGY ARTIFICIAL INTELLIGENCE LABORATORY and CENTER FOR BIOLOGICAL AND COMPUTATIONAL LEARNING DEPARTMENT OF BRAIN AND COGNITIVE SCIENCES

  2001cited by this paper
• From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose

  2001cited by this paper
• View-based active appearance models

  2000cited by this paper
• A Morphable Model For The Synthesis Of 3D Faces

  1999cited by this paper
• Synthesis of Novel Views from a Single Face Image

  1998cited by this paper
• Face Tracking and Pose Representation

  1996cited by this paper
• View-based and modular eigenspaces for face recognition

  1994influential reference
• Eigenfaces for Recognition

  1991influential reference

• Meta-cognitive recurrent kernel online sequential extreme learning machine with kernel adaptive filter for concept drift handling

  2020cites this paper
• Grammatical Structure Detection with Intrinsic Plasticity based Echo State Networks for Cognitive Robot

  2019cites this paper
• Access Control using Face Recognition

  2019cites this paper
• Recurrent Kernel Extreme Reservoir Machine for Time Series Prediction

  2018cites this paper
• Multi Featured Fuzzy based Block Weight Assignment and Block Frequency Map Model for Transformation Invariant Facial Recognition

  2018cites this paper
• Face Recognition across Pose using ELM Framework

  2018cites this paper