Actually they have been for a few years. Camera stabilizers once were careful arrangements of counterbalanced, weighted arms to hold a camera steady when you moved. They have been indispensable in movie making even though they are difficult to set up and even more difficult to use. Now we have active three axis stabilization gimbals small enough to easily carry in one hand. A variety of models exist. I'm not in the market as they're spendy, but it is remarkable they exist.
Going through the NASA image photo archive I found a few impressive images. These are from Apollo 11 taken during the rendezvous between the Command Module and the Lunar Module shortly after it became the first manned vehicle to leave a body other than the Earth.
Here’s the thought. Except for one person every human living or dead born before 21 July 1969 was in the frame of these images. Michael Collins was the photographer behind the frame. He used a Hasselblad 70 mm format camera with a 80mm f2.8 lens.
He's good. Check out Textiles for his look at the current crop of textile mills in New England - generally small and very specialized craft shops this days. More information in the project statements section. His Bell Labs section features the abandoned and very spooky Holmdel facility. I used to visit on Sundays for an early work session with a colleague and have thrown paper airplanes from the sixth floor.
A Century of Portraits: A Visual Historical Record of American High School Yearbooks
Shiry Ginosar, Kate Rakelly, Brian Yin, Alexei A. Efros, University of California Berkeley
Sarah Sachs, Brown University
Many details about our world are not captured in writ- ten records because they are too mundane or too abstract to describe in words. Fortunately, since the invention of the camera, an ever-increasing number of photographs capture much of this otherwise lost information. This plethora of artifacts documenting our “visual culture” is a treasure trove of knowledge as yet untapped by historians. We present a dataset of 37,921 frontal-facing American high school year-book photos that allow us to use computation to glimpse into the historical visual record too voluminous to be evaluated manually. The collected portraits provide a constant visual frame of reference with varying content. We can therefore use them to consider issues such as a decade’s defining style elements, or trends in fashion and social norms over time. We demonstrate that our historical image dataset may be used together with weakly-supervised data-driven techniques to perform scalable historical analysis of large image corpora with minimal human effort, much in the same way that large text corpora together with natural lan- guage processing revolutionized historians’ workflow. Furthermore, we demonstrate the use of our dataset in dating grayscale portraits using deep learning methods.