Cose da far girar la testa! La Kodak ha messo a punto una fotocamera,la 1 TFPS, in grado di riprendere mille miliardi di fotogrammi al secondo . Con questo gioiello tecnologico si riesce a riprendere la luce in movimento ,mi vien da pensare alle possibili applicazioni e al contributo che potrà offrire in ogni campo di ricerca.

A questo link trovate un video da non perdere,veramente fantastico vedere la luce che si muove come una bolla !
www.liveleak.com/view?i=3d3_1343688888

Posto direttamente il video,è con i sottotitoli in spagnolo,possono tornare utili !

Qualcosa non mi torna...



Un impulso laser attraversa la bottiglia: si dovrebbe vedere prima il laser e poi la bottiglia che LENTAMENTE si illumina.

Qui sembra una lampadina che passa attraverso, ma la luce e' luce sempre.

Anche quella riflessa deve vedersi rallentata.

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E poi: la Kodak non era appena fallita???

Adesso glielo chiedo io a Ramesh Raskar.



Uploaded with ImageShack.us

www.youtube.com/watch?v=_IPhYh_owa0&feature=player_embedded

"Scusa Mister, ma come e' possibile che se la luce sta' arrivando da sinistra a destra a bassa velocita' dentro la bottiglia di cocacola, noi vediamo la parte destra della bottiglia GIA? illuminata?Perche'?Se la luce non ha ancora raggiunto ancora la parte destra...

Ancora:

La camera sta' funzionando a velocita' maggiore della velocita' della luce?"

Mica ci fermiamo perche' parlano Inglese!



Ho l'impressione che il mio commento sara' cancellato.

Tuttavia spero che mi rispondano.

ho aggiunto anche un mio commento sul canale del tizio...

Zero_72, 13/08/2012 20.44:

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ho aggiunto anche un mio commento sul canale del tizio...

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Grande!|

Sono proprio curioso di leggere la risposta.

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Per essere un professore e' un professore, pero' non lavora per Kodak, 'lavora' all'MIT e forse per DARPA.

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Ramesh Raskar

Home  > Ramesh Raskar

Associate Professor of Media Arts and Sciences

Co-Director, Center for Future Storytelling

NEC Career Development Professor of Media Arts and Sciences

Group:

Camera Culture

Office:

E14-474G

Phone:

617-253-0329

Fax:

617-258-6264

home page

raskar@media

(username@media.mit.edu)

Biography

Ramesh Raskar joined the Media Lab from Mitsubishi Electric Research Laboratories in 2008 as head of the Lab's Camera Culture research group. His research interests span the fields of computational photography, inverse problems in imaging, and human-computer interaction. Recent inventions include transient imaging to look around a corner, a next-generation CAT-scan machine, imperceptible markers for motion capture (Prakash), long-distance barcodes (Bokode), touch + hover 3D interaction displays (BiDi screen), low-cost eye care devices (NETRA) and new theoretical models to augment light fields (ALF) to represent wave phenomena.

In 2004, Raskar received the TR100 Award from Technology Review, presented to top young innovators under the age of 35, and in 2003, the Global Indus Technovator Award, instituted at MIT to recognize the top 20 Indian technology innovators worldwide. In 2009, he was awarded a Sloan Research Fellowship. In 2010, he received the DARPA Young Faculty award. He holds more than 40 US patents, and has received four Mitsubishi Electric Invention Awards. He is currently co-authoring a book on computational photography.

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Ammette altresi' di usare computer graphic, cioe' il video e' un prodotto del computer e non un osservazione diretta.

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Computational Photography

Computational Photography is an emerging multi-disciplinary field that is at the intersection of optics, signal processing, computer graphics+vision, electronics, art, and online sharing in social networks. The field is evolving through three phases. The first phase was about building a super-camera that has enhanced performance in terms of the traditional parameters, such as dynamic range, field of view or depth of field. I call this Epsilon Photography. Due to limited capabilities of a camera, the scene is sampled via multiple photos, each captured by epsilon variation of the camera parameters. It corresponds to the low-level vision: estimating pixels and pixel features. The second phase is building tools that go beyond capabilities of this super-camera. I call this Coded Photography. The goal here is to reversibly encode information about the scene in a single photograph (or a very few photographs) so that the corresponding decoding allows powerful decomposition of the image into light fields, motion deblurred images, global/direct illumination components or distinction between geometric versus material discontinuities. This corresponds to the mid-level vision: segmentation, organization, inferring shapes, materials and edges. The third phase will be about going beyond the radiometric quantities and challenging the notion that a camera should mimic a single-chambered human eye. Instead of recovering physical parameters, the goal will be to capture the visual essence of the scene and analyze the perceptually critical components.  I call this Essence Photography and it may loosely resemble depiction of the world after high level vision processing. It will spawn new forms of visual artistic expression and communication.

http://web.media.mit.edu/~raskar/

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