Efficient 3D Model based Face Representation and Recognition Algorithm using Pixel-to-Vertex Map (PVM)

Jeong, Kanghun; Moon, Hyeonjoon

doi:10.3837/tiis.2011.01.013

KSII TIIS

2011

DOI: 10.3837/tiis.2011.01.013

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Efficient 3D Model based Face Representation and Recognition Algorithm using Pixel-to-Vertex Map (PVM)

Kanghun Jeong¹,

Hyeonjoon Moon²

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2011

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Image Clustering using Color, Texture and Shape Features

Sleit¹

2011

KSII TIIS

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Content Based Image Retrieval (CBIR) is an approach for retrieving similar images from an image database based on automatically-derived image features. The quality of a retrieval system depends on the features used to describe image content. In this paper, we propose an image clustering system that takes a database of images as input and clusters them using kmeans clustering algorithm taking into consideration color, texture and shape features. Experimental results show that the combination of the three features brings about higher values of accuracy and precision.

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Image Clustering using Color, Texture and Shape Features

Sleit¹

2011

KSII TIIS

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Efficient 3D Model based Face Representation and Recognition Algorithm using Pixel-to-Vertex Map (PVM)

Cited by 1 publication

References 1 publication

Image Clustering using Color, Texture and Shape Features

Image Clustering using Color, Texture and Shape Features

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