{"id":898,"date":"2014-05-20T13:43:16","date_gmt":"2014-05-20T13:43:16","guid":{"rendered":"http:\/\/192.168.3.4\/?p=898"},"modified":"2018-01-09T06:49:38","modified_gmt":"2018-01-09T14:49:38","slug":"presentations-in-3d","status":"publish","type":"post","link":"https:\/\/www.cloudacm.com\/?p=898","title":{"rendered":"Presentations in 3D"},"content":{"rendered":"<p>Earlier in the week on Facebook, my\u00a0cousin Berry posted a picture of the house he grew up in. \u00a0I recalled our Uncle Herb had built a model of the house, so I asked if they still had it. \u00a0Berry said he had it on his mantel and so I mentioned we could make a 3D model of it from pictures. \u00a0My sister Beth chimed in and asked if it could be printed in 3D. \u00a0That got the gears going and sure enough it can.<\/p>\n<p>AutoCAD&#8217;s 123D Catch is an online service that will\u00a0build 3D models from a photo series. \u00a0The pictures get uploaded and processed by AutoCAD&#8217;s cloud system. \u00a0 When the processing is complete, the finished 3D render is made available for download. \u00a0They have more details about the ins and outs of doing it.<\/p>\n<p>I think this will be a useful method to present complex items for analysis. \u00a0The visual data can be fairly rich in detail. \u00a0So I took a stab at it and got this.<\/p>\n<p><iframe loading=\"lazy\" src=\"\/\/www.youtube.com\/embed\/Q9pznHytx3o\" width=\"240\" height=\"180\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>Here&#8217;s the devil in the details. \u00a0I took a series of images with an iPhone, encircling the helmet. \u00a0then I took another series from a higher latitude, all from the same distance. \u00a0I then imported them into Autocad 123D Catch and let their cloud services do all the number crunching. \u00a0After a few moments, I got an email that it was done rendering and I downloaded the finished file from their server. \u00a0Next I cleaned up some back ground artifacts, then created an animation from the render, which you see above.<\/p>\n<p>The process has limitations. \u00a0Some image conditions really throw off the processing piece. \u00a0You can find more details of Do&#8217;s and Don&#8217;ts on the Autocad 123D website.<\/p>\n<p>One of the biggest limitation not documented was how the images are gathered. \u00a0I find it a bit awkward to hover around a subject snapping pictures. \u00a0I can only image that I look like a foolish madman with a camera, or worse. \u00a0So I thought that taking a video instead would be more ideal. \u00a0It takes less time, I don&#8217;t have to look as goofy, and I have more images to improve the rendering results.<\/p>\n<p>So I decided to do a side by side comparison to see if it would work, here&#8217;s what I found. \u00a0It took almost 3 minutes to take image shots with the iPhone, were the video capture only took 20 seconds. \u00a0If you want to be discrete, then it holding an iPhone in front\u00a0your head for 3 minutes in a public place isn&#8217;t going to cut it. \u00a0The 808 seems\u00a0better\u00a0suited since it can be held more naturally.<\/p>\n<p><iframe loading=\"lazy\" src=\"\/\/www.youtube.com\/embed\/LpkPqZq7s1M\" width=\"240\" height=\"135\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>I was surprised by the results. \u00a0The artifacts in the video source were extensive and the distortion of the subject made it difficult to recognize. \u00a0There were some factors that led to the unexpected results. \u00a0The video camera is\u00a0equipped with a fish eye lens. \u00a0In the source video, the field of view is\u00a0distorted on the right side. \u00a0Also, the helmet has a light mounted on it. \u00a0This is visible throughout the shot. \u00a0If both of these items were removed, then the results might be more favorable. \u00a0In contrast, the images shot with the iPhone and resulting render are impressive.<\/p>\n<p>So I felt compelled to do more testing. \u00a0This time I did the same iPhone image rendering as before, but also did the iPhone video. \u00a0In addition, I also removed the head lamp from the helmet camera and did a render from that source. \u00a0The iPhone video source results were a pleasant surprise, but the helmet render was grossly distorted. \u00a0My conclusion is the wide angle lens is causing the issue. \u00a0Detail is key with video rendering, so I&#8217;ll need to use at least a 1080p camera, like the <a href=\"http:\/\/www.chucklohr.com\/808\/C26\/index.html\">808 #26<\/a> or <a href=\"http:\/\/www.chucklohr.com\/808\/mobius\/\">Mobius<\/a>. \u00a0Here is a comparison of the renders from the iPhone. \u00a0The first render is from the image source, while the second is from the video source.<\/p>\n<p><iframe loading=\"lazy\" src=\"\/\/www.youtube.com\/embed\/EXPvsoM1gSs\" width=\"240\" height=\"135\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>A secondary test was to use the helmet camera and do a drive by shot of an object. \u00a0Again, the wide angle lens caused trouble for the rending process. \u00a0However, the results of the render were good enough to demonstrate here. \u00a0This next video shows the brief video source footage followed by the render.<\/p>\n<p><iframe loading=\"lazy\" src=\"\/\/www.youtube.com\/embed\/zpmg5N2N3yM\" width=\"240\" height=\"135\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Earlier in the week on Facebook, my\u00a0cousin Berry posted a picture of the house he grew up in. \u00a0I recalled our Uncle Herb had built a model of the house, so I asked if they still had it. \u00a0Berry said he had it on his mantel and so I mentioned we could make a 3D model of it from pictures. \u00a0My sister Beth chimed in and asked if it could be printed in 3D. \u00a0That got the gears going and&#8230;<\/p>\n<p class=\"read-more\"><a class=\"btn btn-default\" 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