Healthy human eyes see with a very wide field of view, sharp focus, and the ability to perceive an amazing range of color and contrast. Traditional photography can be rather limiting in these regards, but my background in 3D graphics has helped me find the optimal mix of camera equipment, software, and settings to bust through these limitations.
Most images on this site are available for purchase as ready-to-hang, float-mounted MetalPrints. These prints are frameless, glassless sheets of aluminum on which my images are directly infused (i.e., no laminates) resulting in an ultra-scratch-resistant surface that holds detail with great fidelity. Prints in various sizes and prices are easily ordered online by clicking the "Buy" button found next to each image.
I also offer image licenses, custom prints, and backlit displays (light boxes) for installation in corporate, hospitality, and healthcare environments. If interested, click the "Contact" link (found at the bottom of every page) to send me a private message.
About the Artist
Daniel Ambrosi is based in Half Moon Bay, California. Daniel has been exploring novel methods of visual presentation since graduating from Cornell University in 1984 with degrees in architecture and computer graphics (Cornell National Scholar & Eschweiler Prize Recipient). He began his career with NBBJ, one of the largest architectural design firms in the world, where he introduced the use of 3D graphics for design visualization in the early '80s. In the mid-90s, Daniel’s career transitioned to tech marketing beginning with a tenure at 3D workstation manufacturer, Silicon Graphics. He has been an independent marketing consultant since 2003 while continuing to experiment with visual communications technologies in his spare time. In 2011, Daniel devised a unique form of computational photography that generates extremely high resolution immersive vibrant images. Daniel's latest work builds upon his previous experiments by adding a powerful new graphics tool to his artistic workflow; namely "DeepDream," a technique evolved from Google engineers' desire to visualize the inner workings of Deep Learning artificial intelligence models.