A few days ago the Wired Science blog at Wired.com embedded the gigapans from the juried gallery show at the Carnegie Museum of Natural History. The same content also appeared at the Wired Science Japan site, so I used some online translators to see what had been written in Kanji about my hummingbird gigapan.
Here is the text that first appeared at the Wired Science blog:
Don’t let the 40 or so hummingbirds in this panorama fool you. There are really only two. Photographer Chris Fastie called it a “perplexing distortion of reality.” He took 78 photos over the course of a few minutes, then selectively merged them to capture multiple feeding and flying positions of the birds. “Rarely will the local male allow birds other than his mate to use a food source in his territory, so a feeding flock like this is impossible,” Fastie wrote on GigaPan.org.
This caption is a bit of a “perplexing distortion” because: (1) there are only 28 hummingbirds in the image, not “40 or so,” and (2) the 78 photos taken by the Gigapan imager did not include any birds. An additional 28 photos of hummingbirds (and two of insects) were pasted onto the stitched panorama. This misinformation is partly my fault because my original caption at gigapan.org was not very explicit. So the people hired to do the translation were already at a disadvantage, like the third person in a game of “telephone.”
The Fine International Conference on Gigapixel Imaging for Science is winding down and I am really looking forward to the cocktail reception when today’s poster session ends. There is also going to be a raffle for a Gigapan Epic Pro, so there is still much to look forward to.
It has been a real joy to meet lots of people who I knew only through their work online at gigapan.org, many others whose work I hope to know soon, and all the media people who might be incorporating gigapans into their work. It was tremendous fun to see dozens of members of the gigapan community whom I met 18 months ago at my first Fine Outreach for Science Workshop. I have really enjoyed interacting with many people who are more obsessed with gigapixel imaging than I am.
The proceedings papers are now online at http://gigapixelscience.gigapan.org/. A higher resolution PDF of my paper is here. All the presentations were videotaped, so maybe they will be online at some point so I can see the concurrent talks I missed. [UPDATE: Video of my presentation at YouTube.]
The Prezis for my conference talk and the one for my Fine Outreach for Science talk are available online at Prezi.com. These are somewhat sparse in the sense that they are not very self-explanatory, but you might glean something from them if you attended my talks. Here is the motion bubble chart of my gigapan history that I used in the FOFS Workshop. And here is the kml file of Miss Pixie so you can see the Google Earth verification of the map I made of her locations. Here is a pioneering paper by Adam Dick et al. about mapping trees from 360° panoramas.
Thanks to the GigaPan teams for the tremendous effort they put into this event. It was a huge success.
Reese, Leah, Doug, Lindsay, Emily, and Audrey evaluate the old growth status of the surrounding forest.
I joined the University of Vermont Field Naturalist and Ecological Planning graduate student field trip yesterday to the 22,768 acre Giant Mountain Wilderness area in the Adirondacks. The trip was led by Alicia Daniels and focused on the plant community response to a dramatic 1963 landslide and outburst flood which deposited a mile-long debris flow in the Roaring Brook valley. The debris flow and successional puzzle were intriguing, but I was stunned by the old forests on the valley sides. There were hemlocks, red spruce, and sugar maples everywhere that appeared to be 300-400 years old. One increment core of a spruce and one cross section of a hemlock across a trail confirmed 350 year-old trees, but it looked like many others were that old. I have never seen such a majestic stand in Vermont.
I have been collecting data about the gigapans I upload to gigapan.org ever since I noticed some unexplained behavior in the View counts and Explore Scores of my first public gigapans. Unlike YouTube, Gigapan does not make archival user data publicly available, so it has to be independently collected. Kilgore661 has been doing a great public service by collecting these data for all gigapans for about three years, and you can explore his archive here and use his nifty graphing tools. I have more than a year’s worth of slightly denser data on my own gigapans. Graphs of these data are wildly revealing about the nature of Explore Scores and the inherent differences among gigapans in how they accumulate Views. I hope to show some of these results at the Fine Outreach for Science Workshop in November.
The number of Views and the Explore Score for four of my gigapans for their first three months. Click to enlarge.
Unlike Kilgore661, I wasn’t smart enough to use the gigapan API to automate this process, so I have been screen scraping and I just had to stop. The gigapan API is essentially undocumented, but thanks to Miriam at gigapan and Will at Fastie Systems, I now have a tool that collects the pertinent data on all of my gigapans and makes it easy to paste it into Excel. You can see the tool in action here, and learn how to install it on a Web page to fetch the information about your own gigapans.
In Pittsburgh at the Fine International Conference on Gigapixel Imaging for Science in November, there will be a gallery show in the Carnegie Museum of Natural History of huge prints of eight gigapixel images. One of these will be a gigapan of my backyard patch of bergamot surrounded by an unnatural swarm of Ruby-throated Hummingbirds. You can see the gigapan here. The detail included below is about 4% of the area of the entire gigapan which will be printed about six feet wide.
The image integrates moments during three different visits by a male and female hummingbird.
I have incorporated some gigapans into Google Earth KML tours and tried three ways to share the tours with others: embedding, KML preview, and downloading. There is not a clear winner. An earlier post has examples of all three methods.
A Google Earth KML (keyhole markup language) file can contain placemarks, paths, and polygons, but it can also include a tour in which recorded navigation movements (flying around) and an audio track can be played back. If a gigapan is included in a KML file which also includes a tour, the user can see where the gigapans are on the landscape and see previews of the gigapans. When the KML tour is stopped, clicking once on the gigapan icon (or the translucent panorama) opens a popup bubble with a thumbnail and the entire description from gigapan.org. Double clicking on the gigapan icon (or translucent panorama) flies you into the panorama just as the “View in Google Earth 4.2+” link at gigapan.org does. The recorded KML tour itself cannot include flying into a gigapan; that part does not seem to play back properly.