Encyclopedia of Computer Graphics and Games

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Digital Images Using Heuristic AdaBoost Haar Cascade Classifier Model, Detection of Partially Occluded Faces

  • Tulasii SivarajaEmail author
  • Abdullah Bade
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-08234-9_371-1

Synonyms

Definition

Detection of partially occluded faces in digital images using AdaBoost Haar cascade classifier is a viable technique of face detection if the cascade training procedure is modified.

Introduction

Face detection is one of the more popular applications of object detection in computer vision. The computer uses a series of mathematical algorithms, pattern recognition, and image processing to identify faces from an image or video input. Over the years, the technology of detecting faces has evolved proportional to its usage in various applications. The most known algorithm for face detection was introduced by Viola and Jones in 2001. They proposed a framework that produces real-time face detection by the means of a novel image representation known as integral image and incorporated the Haar basis functions that was used in the general framework of object detection (Papageorgiou et...

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Authors and Affiliations

  1. 1.Mathematics, Graphics and Visualization Research Group (MGRAVS), Faculty of Science and Natural ResourcesUniversiti Malaysia SabahKota KinabaluMalaysia