tag:blogger.com,1999:blog-6141980.post546696954061406768..comments2024-03-20T12:28:35.004-05:00Comments on Nuit Blanche: You keep using that wordIgorhttp://www.blogger.com/profile/17474880327699002140noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-6141980.post-34497176973699186642011-10-24T05:11:25.815-05:002011-10-24T05:11:25.815-05:00Dear Igor,
Thank you for your reply. And I agree w...Dear Igor,<br />Thank you for your reply. And I agree with your words. Adaptive sampling seems more suitable for this work.<br />I'll add that to my thesis:) Cheers.<br /><br />Regards,<br />BoBohttps://www.blogger.com/profile/12877359290782340098noreply@blogger.comtag:blogger.com,1999:blog-6141980.post-56201718181740321902011-10-24T04:01:03.124-05:002011-10-24T04:01:03.124-05:00Hello Bo,
Let me reiterate that I think this is a...Hello Bo,<br /><br />Let me reiterate that I think this is a great implementation you have here. <br /><br />Also, please bear in mind that nobody owns a trademark on the wording "compressive sensing".<br /><br />However, what you are doing is really called adaptive sampling. It assumes that no large changes will occur in between slow frames.<br /><br />Unlike a compressive sensing (adaptive or non adaptive) imager, your system does not sense the full FOV at high frame rate. It only sense the full FOV at the lower frame rate and only locally at the high frame rate. A CS imaging system would sense the full FOV at a high frame rate.<br /><br />Your imager could become a CS system if the ROI pixels were providing information about the full frame. For that, you would probably need some other sort of device in between the field of view and the CMOS but that would be a whole different paper.<br /><br />Igor.Igorhttps://www.blogger.com/profile/17474880327699002140noreply@blogger.comtag:blogger.com,1999:blog-6141980.post-39341392355189857732011-10-23T20:15:57.220-05:002011-10-23T20:15:57.220-05:00Hi there,
Thanks for your sharing and comments. Th...Hi there,<br />Thanks for your sharing and comments. This is Bo, the author of this work. I saw your comments on PLoS ONE and found your blog via your twitter (sorry for that:p).<br /><br />'Compressive sampling' here happens on the data acquisition level. So we analyzed the whole frame and we considered the procedure of finding the ROIs as 'compress'. Then sample these regions with most of the B/W.<br /><br />The picture in ROIs are being updated with most of the B/W, but the 'locations' of them are not updated that fast. So the 'tracking speed' is not a selling point of this camera.<br /><br />I agree with your comments. This is not a usual way of using the term 'Compressive sampling' and I'm sorry if it was misleading. I can discuss about this with my supervisor:)<br /><br />Regards,<br />BoBohttps://www.blogger.com/profile/12877359290782340098noreply@blogger.com