Separating Reflection Components of Smooth Metallic Surface Using Special Random Sampling Method

Ren, Shiqing; Wang, Yan

doi:10.1109/icicic.2008.488

Cited by 1 publication

(2 citation statements)

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“…The former can be classified into diffuse and specular reflections. In diffuse reflection the light penetrating an object's surface reflects in diverse directions, and the behaviour of the specular reflection is referred to as the mirror phenomenon (Ren and Wang, 2008). Similarly, shadow reflection may be also categorised in self and cast shadows (Salvador et al, 2001).…”

Section: Colour Discrimination and Object Trackingmentioning

confidence: 99%

“…where g n is the tolerance of intrinsic green colour, n is the number of threshold levels in pixel strength. Once the system detects a pixel with green strength by (G n(i,j) -g n ) stronger than red and blue, a range of interested (ROI) area is then created for the following pixels (Ren and Wang, 2008). Here we assume the blue colour is of least strength in RGB which can be ignored.…”

Section: Colour Discrimination and Object Trackingmentioning

confidence: 99%

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FPGA-Based Ubiquitous Computing Intelligence for Robotic Formation Control

Yu¹,

Kodagoda²,

Ha³

2010

Proceedings -- The 27th International Symposium on Automation and Robotics in Construction

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Ubiquitous computing (UC) has been an important stream in distributed computing, which is nowadays recognized as an attractive vision in ambient intelligence (AmI) technologies and home robotic systems. This paper, focusing on our work on the application of field programmable gate array (FPGA) in mobile robotics, presents a prototypical computing node of a ubiquitous robot (Ubibot) for indoor multiple robot coordination. The hardware based FGPA designs such as colour discrimination, object tracking, relative distance estimation, and robotic steering manoeuvre are integrated into a single chip. This hardware design, based on the system-on-programmable chip concept, will demonstrate the feasibility of an AmI environment for real-time processing with lower power consumption.

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Section: Colour Discrimination and Object Trackingmentioning

confidence: 99%

Section: Colour Discrimination and Object Trackingmentioning

confidence: 99%