Download Active Computer Vision by Cooperative Focus and Stereo by Eric P. Krotkov PDF

By Eric P. Krotkov

This booklet addresses a space of notion engineering which bargains with optimistic approaches. A version of our surroundings is analyzed utilizing the data received from a number of viewpoints of a number of disparate sensors at a number of time instants. even though the function of successive version development and energetic exploration of our surroundings, as is mentioned during this ebook, is of serious significance, just a couple of researchers of laptop belief have up to now addressed the matter in those instructions. Krotkov's e-book, that's a amendment and continuation of his hugely winning dissertation, specializes in energetic exploratory sensing within the context of spatial structure conception. He makes use of stereo and concentration to procure distance through info, and to ultimately boost cooperative combining recommendations. technique of a stereo procedure with verging cameras, it truly is verified that the gap measurements should be considerably greater by way of combining resources. moreover, the matter of merging info from the a number of perspectives is mentioned intimately. because the box of belief engineering appears of transforming into medical and utilized value, either practitioners and researchers in computing device conception will locate this publication a important addition to their libraries. RameshJain sequence Editor Acknowledgements i need to thank Professor Ruzena Bajcsy for her consistent encouragement and information throughout the 5 years of analysis resulting in the dissertation upon which this e-book relies. with no her assist in all issues, this paintings might by no means were possible.

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Additional resources for Active Computer Vision by Cooperative Focus and Stereo

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3 Results We have tested the range computation on a wide variety of scenes with object distances between 1 and 3 m, and will illustrate typical performance on one particular target an ophthalmologist's eye chart. We select five different target patterns on the chart, including text at various orientations and a spoked "wagon wheel" pattern. 5 o o 5 Object Distance (m) Figure 3-11. The Depth of Field for a Given Lens: f nun. 03 is 58 mm (fully open). We move the chart to five different known distances Zj 1 ~ i ~ 5, between 1 and 3 m.

The intensity samples are averaged over 5 frames. 20). There is a total of 500 trials, 100 per object distance, and Table 3-1 records the results of the error analysis. The "Measured Range" entries are the manually measured Zj. 20). The "Largest Abs. Error" is the largest of the 100 absolute errors 1Zj - Zjj I. The "Largest ReI. Error" is the largest of the 100 relative errors 1(Zj - Zjj )/Zj I. 03 mm. The' 'RMS Error" is the root-mean-square error. 6 percent, and is not correlated with object distance.

We would like to make our measurements from a well-defmed plane P on the platform supporting the camem. 2 Computing Range using Calibrated Stereo Disparities optic axes before verging / center of rotation a • bobs--~ Figure 4·5. Effect of Verging on the Baseline. where ks is the distance from the left lens center to P. Since P is behind the lens center, we constrain ks by -100 ~ ks ~ 0 [mm]. 6) This expression explicitly incorporates the disparity offset as a function of vergence angle, accounts for uncertainties in the measured baseline and focal length, and includes the offset from the measurement system origin.

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