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Improved Variance Cut Algorithm for Light Source Estimation in Augmented Reality

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 19
Year of Publication: 2014
Divya Kamboj
Wankui Liu

Divya Kamboj and Wankui Liu. Article: Improved Variance Cut Algorithm for Light Source Estimation in Augmented Reality. International Journal of Computer Applications 85(19):24-27, January 2014. Full text available. BibTeX

	author = {Divya Kamboj and Wankui Liu},
	title = {Article: Improved Variance Cut Algorithm for Light Source Estimation in Augmented Reality},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {19},
	pages = {24-27},
	month = {January},
	note = {Full text available}


Consistent illumination plays very important role in efficient integration of virtual objects into real world scene. Real time photometric registration requires efficient detection and segmentation of the brighter regions in an image to provide better light source detection and thus efficient illumination of virtual objects is possible. The paper presents a technique for light source sampling of images taken through a fish-eye Camera. These images taken through this Camera are sampled using improved variance-cut algorithm. The technique helps to detect the brighter region efficiently. With deferred rendering, some experimental results demonstrate that the proposed method produces plausible AR visualization


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