“Here Is A Trash Can Full of Flip Cams”…. Scrambler writes – …While I like to think it’s an omen—that mankind is to read this as a cautionary tale not to ever let smartphones determine the trajectory of a badass camera in its own right, it’s probably just another one of those charming signs of […]
The folks over at Kogeto have a product on Kickstarter that looks very promising for 360 panorama fans. They’ve shrunk their Lucy camera technology down to fit on the back of an iPhone 4. The product, called Dot, produces still imagery and video that can be panned around in 360 degrees, allowing a greater number […]
Camera maker Kurt Mottweiler produces elegant pinhole cameras capable of capturing 90 degree panoramas on 120 film. A curved film plane assures even edge-to-edge exposures and the curvilinier perspective of a traditional panorama camera. [via retrothing]
From artist Idan Friedman’s portrait project. “All people featured in the project,” he writes, “are part of my everyday life, ranging from close friends to passers-by.” [via Dude Craft]
Michael Zheng of PetaPixel credits these beautiful photographs to one Duncan Meeder, whose personal web presence, if it exists, escapes my Googling. This example is identified as a Leica Tri-Elmar-M 28-35-50mm.
Searching for a way to enlarge some 8″x10″ prints without going digital, photographer (and close friend) Darren Samuelson decided to forego using an enlarger and instead built a gigantic ultra-large format camera capable of taking pictures on 14″x36″ X-Ray film. Taking over six months to complete, when fully extended the enormous hand-made bellows camera is […]
Cornell undergraduates Brian Harding and Cat Jubinski built a portable face recognition system for their capstone ECE 4760 project: “Our design consists of an Atmel ATmega644 8-bit microcontroller, a C3088 camera module with an OmniVision OV6620 CMOS image sensor, Atmel’s AT45DB321D Serial Dataflash, a Varitronix MDLS16264 LCD module for output, a 9-volt battery, and a small wooden structure for chin support.” The system is hooked up to a computer to train the pattern-recognition algorithm, but from then on it can enroll new users, delete old users, and recognize up to 20 enrolled users as a standalone system.
