Lecture Notes in Computer Science - Image Analysis and Recognition
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Published By Springer Berlin Heidelberg

9783642137716, 9783642137723

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

A Geometric Data Structure Applicable to Image Mining and Retrieval

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_37 ◽

2010 ◽

pp. 364-373

Author(s):

T. Iwaszko ◽

Mahmoud Melkemi ◽

L. Idoumghar

Keyword(s):

Data Structure ◽

Image Mining ◽

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High Accuracy Optical Flow Method Based on a Theory for Warping: 3D Extension

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_26 ◽

2010 ◽

pp. 250-262 ◽

Author(s):

Weixin Chen ◽

John L. Barron

Keyword(s):

Optical Flow ◽

High Accuracy ◽

Flow Method ◽

Optical Flow Method

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Efficient Methods for Point Matching with Known Camera Orientation

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_22 ◽

2010 ◽

pp. 210-219

Author(s):

João F. C. Mota ◽

Pedro M. Q. Aguiar

Keyword(s):

Point Matching ◽

Camera Orientation

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3D Human Action Recognition Using Model Segmentation

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_20 ◽

2010 ◽

pp. 189-199 ◽

Author(s):

Sang Min Yoon ◽

Arjan Kuijper

Keyword(s):

Action Recognition ◽

Human Action Recognition ◽

Human Action ◽

Model Segmentation

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Improving Accuracy of Optical Flow of Heeger’s Original Method on Biomedical Images

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_27 ◽

2010 ◽

pp. 263-273 ◽

Author(s):

Vladimír Ulman

Keyword(s):

Optical Flow ◽

Original Method ◽

Biomedical Images ◽

Improving Accuracy

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Segmentation of Very High Resolution Remote Sensing Imagery of Urban Areas Using Particle Swarm Optimization Algorithm

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_9 ◽

2010 ◽

pp. 81-88 ◽

Author(s):

Safaa M. Bedawi ◽

Mohamed S. Kamel

Keyword(s):

Remote Sensing ◽

Particle Swarm Optimization ◽

High Resolution ◽

Optimization Algorithm ◽

Urban Areas ◽

Particle Swarm Optimization Algorithm ◽

Particle Swarm ◽

Swarm Optimization ◽

Remote Sensing Imagery ◽

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3D Texton Spaces for Color-Texture Retrieval

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_36 ◽

2010 ◽

pp. 354-363 ◽

Author(s):

Susana Alvarez ◽

Anna Salvatella ◽

Maria Vanrell ◽

Xavier Otazu

Keyword(s):

Texture Retrieval ◽

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Nonlinear Scale Space Theory in Texture Classification Using Multiple Classifier Systems

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_16 ◽

2010 ◽

pp. 147-156

Author(s):

Mehrdad J. Gangeh ◽

Amir H. Shabani ◽

Mohamed S. Kamel

Keyword(s):

Texture Classification ◽

Scale Space ◽

Space Theory ◽

Multiple Classifier Systems ◽

Classifier Systems ◽

Multiple Classifier ◽

Nonlinear Scale Space ◽

Nonlinear Scale

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Incremental Hybrid Approach for Unsupervised Classification: Applications to Visual Landmarks Recognition

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_15 ◽

2010 ◽

pp. 137-146 ◽

Author(s):

Antonio Bandera ◽

Rebeca Marfil

Keyword(s):

Hybrid Approach ◽

Unsupervised Classification ◽

Visual Landmarks

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The Analysis of Facial Beauty: An Emerging Area of Research in Pattern Analysis

Lecture Notes in Computer Science - Image Analysis and Recognition ◽

10.1007/978-3-642-13772-3_43 ◽

2010 ◽

pp. 425-435 ◽

Author(s):

Andrea Bottino ◽

Aldo Laurentini

Keyword(s):

Pattern Analysis ◽

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