Orientation estimation for planar textured surfaces based on complex wavelets

N. Anantrasirichai; J. Burn; David R. Bull

doi:10.1109/ICIP.2014.7025682

Orientation estimation for planar textured surfaces based on complex wavelets

N. Anantrasirichai, J. Burn, David R. Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

3 Citations (Scopus)

Abstract

The gradient of a road or terrain influences the appropriate speed and power of a vehicle traversing it. Therefore, gradient prediction is necessary if autonomous vehicles are to optimise their locomotion. This paper presents a novel texture-based method for estimating the orientation of planar surfaces under the basic assumption of homogeneity. Based on a backprojection technique, we propose a new method for measuring texture consistency in the Dual-Tree Complex Wavelet Transform (DT-CWT) domain. Texture histograms computed with a new anti-aliasing compensation approach are employed to find the rotation of a planar surface. The proposed method performs well with various types of textured surfaces and outperforms other existing methods with significantly reduced computational complexity up to 35%.

Original language	English
Title of host publication	2014 IEEE International Conference on Image Processing, ICIP 2014
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	3372-3376
Number of pages	5
ISBN (Electronic)	9781479957514
DOIs	https://doi.org/10.1109/ICIP.2014.7025682
Publication status	Published - 28 Jan 2014

Publication series

Name	2014 IEEE International Conference on Image Processing, ICIP 2014

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

DT-CWT
orientation estimation
texture

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10.1109/ICIP.2014.7025682

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Anantrasirichai, N., Burn, J., & Bull, D. R. (2014). Orientation estimation for planar textured surfaces based on complex wavelets. In 2014 IEEE International Conference on Image Processing, ICIP 2014 (pp. 3372-3376). Article 7025682 (2014 IEEE International Conference on Image Processing, ICIP 2014). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIP.2014.7025682

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title = "Orientation estimation for planar textured surfaces based on complex wavelets",

abstract = "The gradient of a road or terrain influences the appropriate speed and power of a vehicle traversing it. Therefore, gradient prediction is necessary if autonomous vehicles are to optimise their locomotion. This paper presents a novel texture-based method for estimating the orientation of planar surfaces under the basic assumption of homogeneity. Based on a backprojection technique, we propose a new method for measuring texture consistency in the Dual-Tree Complex Wavelet Transform (DT-CWT) domain. Texture histograms computed with a new anti-aliasing compensation approach are employed to find the rotation of a planar surface. The proposed method performs well with various types of textured surfaces and outperforms other existing methods with significantly reduced computational complexity up to 35\%.",

keywords = "DT-CWT, orientation estimation, texture",

author = "N. Anantrasirichai and J. Burn and Bull, \{David R.\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.",

year = "2014",

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doi = "10.1109/ICIP.2014.7025682",

language = "English",

series = "2014 IEEE International Conference on Image Processing, ICIP 2014",

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Anantrasirichai, N, Burn, J & Bull, DR 2014, Orientation estimation for planar textured surfaces based on complex wavelets. in 2014 IEEE International Conference on Image Processing, ICIP 2014., 7025682, 2014 IEEE International Conference on Image Processing, ICIP 2014, Institute of Electrical and Electronics Engineers (IEEE), pp. 3372-3376. https://doi.org/10.1109/ICIP.2014.7025682

Orientation estimation for planar textured surfaces based on complex wavelets. / Anantrasirichai, N.; Burn, J.; Bull, David R.
2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers (IEEE), 2014. p. 3372-3376 7025682 (2014 IEEE International Conference on Image Processing, ICIP 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Orientation estimation for planar textured surfaces based on complex wavelets

AU - Anantrasirichai, N.

AU - Burn, J.

AU - Bull, David R.

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N2 - The gradient of a road or terrain influences the appropriate speed and power of a vehicle traversing it. Therefore, gradient prediction is necessary if autonomous vehicles are to optimise their locomotion. This paper presents a novel texture-based method for estimating the orientation of planar surfaces under the basic assumption of homogeneity. Based on a backprojection technique, we propose a new method for measuring texture consistency in the Dual-Tree Complex Wavelet Transform (DT-CWT) domain. Texture histograms computed with a new anti-aliasing compensation approach are employed to find the rotation of a planar surface. The proposed method performs well with various types of textured surfaces and outperforms other existing methods with significantly reduced computational complexity up to 35%.

AB - The gradient of a road or terrain influences the appropriate speed and power of a vehicle traversing it. Therefore, gradient prediction is necessary if autonomous vehicles are to optimise their locomotion. This paper presents a novel texture-based method for estimating the orientation of planar surfaces under the basic assumption of homogeneity. Based on a backprojection technique, we propose a new method for measuring texture consistency in the Dual-Tree Complex Wavelet Transform (DT-CWT) domain. Texture histograms computed with a new anti-aliasing compensation approach are employed to find the rotation of a planar surface. The proposed method performs well with various types of textured surfaces and outperforms other existing methods with significantly reduced computational complexity up to 35%.

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Anantrasirichai N, Burn J, Bull DR. Orientation estimation for planar textured surfaces based on complex wavelets. In 2014 IEEE International Conference on Image Processing, ICIP 2014. Institute of Electrical and Electronics Engineers (IEEE). 2014. p. 3372-3376. 7025682. (2014 IEEE International Conference on Image Processing, ICIP 2014). doi: 10.1109/ICIP.2014.7025682

Orientation estimation for planar textured surfaces based on complex wavelets

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