I think I had not paid attention to it before because I thought it was one
of those old win-only programs. Great that it's on all platforms.


On 30 June 2014 16:40, theodor groeneboom <[email protected]> wrote:

> Runs on win,osx & linux too.
>
>
> On 30 June 2014 21:35, Michael Garrett <[email protected]> wrote:
>
>> Photoscan was mentioned to me recently actually, seems like there's a bit
>> of consensus.
>>
>>
>> On 30 June 2014 15:44, Diogo Girondi <[email protected]> wrote:
>>
>>> Thanks for the tip Nathan! That Pix4d looks nice, I'll try it out when I
>>> find some time.
>>>
>>> But Photoscan is great and so far is what I've used for real with a
>>> limited degree of success. There are also the ones from Photomodeler
>>> <http://www.photomodeler.com/index.html> but it's all Win only and I
>>> couldn't spend to much time with the demos at the time.
>>>
>>>
>>>
>>>
>>> On Mon, Jun 30, 2014 at 3:19 PM, Fredrik Pihl <[email protected]> wrote:
>>>
>>>> Haha... Groeneboom came before me by a couple of seconds :D
>>>>
>>>>
>>>>
>>>> On Mon, Jun 30, 2014 at 8:17 PM, theodor groeneboom <
>>>> [email protected]> wrote:
>>>>
>>>>> Go agisoft photoscan or go home :)
>>>>>
>>>>>
>>>>> On 30 June 2014 18:05, Nathan Rusch <[email protected]> wrote:
>>>>>
>>>>>>   Only throwing this out there because it just came up on another
>>>>>> list, but it might be worth taking a look at.
>>>>>>
>>>>>> http://pix4d.com/
>>>>>>
>>>>>> -Nathan
>>>>>>
>>>>>>
>>>>>>  *From:* Michael Garrett <[email protected]>
>>>>>> *Sent:* Monday, June 30, 2014 9:52 AM
>>>>>> *To:* [email protected] ; Nuke user discussion
>>>>>> <[email protected]>
>>>>>> *Subject:* Re: [Nuke-users] Prosumer Lidar ?
>>>>>>
>>>>>>  Can you recommend a particular photogrammetry-based tool that
>>>>>> creates dense point clouds? Obviously there is Nuke's internal toolset
>>>>>> which has provided great results on occasion and I haven't fully 
>>>>>> exploited
>>>>>> it yet.
>>>>>>
>>>>>>
>>>>>> On 30 June 2014 04:42, David Yu <[email protected]> wrote:
>>>>>> Sense and all the Depth sensor type of scanner is like the Kinect.
>>>>>> Low res, near field scanning.  No more than 10 feet range and very noisy
>>>>>> scans.
>>>>>>
>>>>>> Kinect  and Asus Xtion Pro Live 640 x 480 resolution depth sensor.
>>>>>> Data is really not usable for pro work.
>>>>>>
>>>>>> Better off using Photogrammetry tools for "Lidar" like scans. It's
>>>>>> not realtime but the output is much better and gives a dense point cloud
>>>>>> with textured mesh. Photogrammetry have no scale limits. Use a drone
>>>>>> chopper and scan your neighbourhood :)
>>>>>>
>>>>>>
>>>>>>
>>>>>> Regards.
>>>>>>  Dave
>>>>>>
>>>>>>
>>>>>>
>>>>>> On Sun, Jun 29, 2014 at 1:59 PM, Frank Rueter|OHUfx <[email protected]>
>>>>>> wrote:
>>>>>> just by a few zeros ;)
>>>>>>
>>>>>>
>>>>>> On 29/06/14 16:46, HSK wrote:
>>>>>> Yikes!
>>>>>>
>>>>>> Apparently I was waaaaaaay off!
>>>>>>
>>>>>>
>>>>>> Sent from my iPhone
>>>>>>
>>>>>> On Jun 28, 2014, at 11:00 PM, Frank Rueter|OHUfx <[email protected]>
>>>>>> wrote:
>>>>>>
>>>>>> The pricing of that one is actually around $25k. That does not
>>>>>> include the pay-as-you go data processing which I found a bit annoying.
>>>>>> This is the info I got recently from a vendor in Australia:
>>>>>>
>>>>>> ZEB1 is charged at $24,860 AUD (ex Tax, ex Shipping) for the
>>>>>> handheld unit. The data processing is charged using a pay-as-you-go model
>>>>>> and you buy processing credits as and when you need them. This allows a 
>>>>>> lot
>>>>>> of flexibility and means you don’t have a large upfront software cost or
>>>>>> annual maintenance charges. The credits are charged at $0.50 AUD (ex
>>>>>> Tax) per credit which is equivalent to 2m of data capture. Discounts are
>>>>>> available for larger depending on how many credits you purchase at once.
>>>>>>
>>>>>>
>>>>>>
>>>>>> I have attached a brochure for your information and also some links
>>>>>> to allow you to download some sample data below - you can download the 
>>>>>> data
>>>>>> in LAZ or PLY format.
>>>>>>
>>>>>> Exhibition Hall –
>>>>>> https://www.hightail.com/download/elNLQmtWUnI5eFVFSzhUQw
>>>>>>
>>>>>> 2 Story Building –
>>>>>> https://www.hightail.com/download/elNLQmtWUnJ0NjgxWjhUQw
>>>>>>
>>>>>>
>>>>>>
>>>>>> You can open the data in any software that can accept a pointcloud
>>>>>> and have a look at the data output. You can use Cloud Compare
>>>>>> www.cloudcompare.org (open source software)
>>>>>>
>>>>>>
>>>>>>
>>>>>> You may also be interested in reading an article written in LiDAR
>>>>>> News following a recent trial and evaluation by an American surveyor who
>>>>>> recently went on to purchase a system of his own. It may not be related 
>>>>>> to
>>>>>> your line of work, but it gives you an idea of the capabilities of the
>>>>>> system:
>>>>>> http://www.lidarnews.com/PDF/LiDARMagazine_Gutelius-Zeb1Review_Vol4No1.pdf
>>>>>>
>>>>>>
>>>>>> I hope this information is helpful. If you have any further queries
>>>>>> please don’t hesitate to contact me.
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> On 29/06/14 14:09, HSK wrote:
>>>>>>
>>>>>> Hey Ari,
>>>>>>
>>>>>> You may be thinking of the
>>>>>> Zebedee? (Zeb1)
>>>>>> https://www.fxguide.com/quicktakes/meet-zebedee-handheld-lidar-scanning/
>>>>>>
>>>>>> I think it's relatively cheap to buy ($200-$400)
>>>>>> But it uses a pay as you go model for processing the data.
>>>>>>
>>>>>> >From what I've heard the results are "okay", and "a little bit noisy"
>>>>>>
>>>>>> What do you want to use it for?
>>>>>> Could photogrammetry be an option?
>>>>>>
>>>>>>
>>>>>> Sent from my iPhone
>>>>>>
>>>>>>
>>>>>> On Jun 28, 2014, at 8:08 PM, Ari Rubenstein mailto:[email protected] 
>>>>>> <[email protected]> wrote:
>>>>>>
>>>>>> Has anyone explored any of the burgeoning prosumer Lidar options out 
>>>>>> there and have positive feedback ?
>>>>>>
>>>>>> There was a $1k or less Kickstarter Lidar project I read about last year 
>>>>>> but can't recall the company name, anyone ?
>>>>>>
>>>>>> Thx
>>>>>> Ari
>>>>>> Blue Sky
>>>>>>
>>>>>>
>>>>>> Sent from my iPhone_______________________________________________
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>>>>>
>>>>>
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>>>>
>>>>
>>>>
>>>> --
>>>> ______________________________________________________
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