{"id":83929,"date":"2014-06-09T14:03:31","date_gmt":"2014-06-09T11:03:31","guid":{"rendered":"https:\/\/www.technion.ac.il\/blog\/google-glass-tce\/"},"modified":"2014-06-09T14:03:31","modified_gmt":"2014-06-09T11:03:31","slug":"google-glass-tce","status":"publish","type":"post","link":"https:\/\/www.technion.ac.il\/en\/blog\/google-glass-tce\/","title":{"rendered":"Google Glass & TCE"},"content":{"rendered":"
\u201cThose of you with a keen eye and even those of you without can distinguish\u00a0between a photo taken with a high quality camera than from one taken with a cell\u00a0phone, but this will not be the case for long,” asserted Professor Peyman Milanfar from the University of California Santa Cruz, an expert in image processing and artificial vision who has been working for Google over the past year. He spoke at the\u00a0Fourth Annual International Conference held by TCE Technion Computer Engineering\u00a0Center named after Henry Taub at the Technion. Professor Milanfar is working with\u00a0the team developing the Google Glass software.<\/p>\n
Professor Oded Shmueli, the Technion\u2019s Executive Vice President for Research, said\u00a0at the opening of the conference: \u201cWe are at the brink of a process which will usher\u00a0in a new era. The areas of research discussed at the conference, such as artificial\u00a0intelligence, computer vision and image processing, affect all aspects of our lives.<\/p>\n
Within a decade from now cars will travel on roads equipped with computer, sensors\u00a0and navigation and radar systems which will allow them to travel alone without the\u00a0intervention of a driver.\u201d<\/p>\n The TCE Technion Computer Engineering Center was inaugurated three years ago\u00a0and since then has become a leading center of excellence in groundbreaking\u00a0research,” said Professor Assaf Schuster, the Head of TCE. “We have been successful\u00a0at creating here a new model for collaboration between academia and industry.”<\/p>\n According to Professor Milanfar it will be hard and nearly impossible to achieve the\u00a0level of next generation camera with the simple cameras installed today in cellular\u00a0phones and tablets, and which in the near future may also be used as part of\u00a0wearable computing devices. It is because they lack all the moving parts and the\u00a0complex heavy lenses that professional cameras have. Even the need of not\u00a0overburdening the user, which has prompted planners to make them lighter and\u00a0smaller, doesn\u2019t let them compete with the big cameras without encountering physical\u00a0limitations. The<\/p>\n miniaturization of devices makes it very difficult to bring light into\u00a0the device, so what remains is to use sophisticated algorithms to compensate for the\u00a0size reduction.<\/p>\n \u201cMy job at Google is to develop the field of computerized photography that can\u00a0merge a number of former disciplines such as image processing, photography, computer graphics and computer vision. It includes the development of algorithms, hardware Optics and image processing techniques (Rendering),” explained Professor\u00a0Milanfar. “The principle is quite simple – instead of taking only one image you shoot\u00a0a series of images and then merge them together into one image. This can be in the\u00a0form of a high resolution picture, a trivial feature that allows intensified use of\u00a0multiple photos, or making use of other ‘tricks’ such as shooting several pictures\u00a0from different angles and calculating the distance to objects, so that you will be able to decide in which area of the picture to focus and what part of the image will remain\u00a0vague to achieve a sense of depth. Another \u2018trick\u2019 that can be used is to capture\u00a0images that cannot be detected by the naked eye, such as night vision (by using\u00a0infra-red sensors),and the ability to detect changes that occur very quickly or very\u00a0slowly, distinguishing fine details (for example, the motion of a baby’s breathing\u00a0through cameras installed in a child\u2019s bedroom).”<\/p>\n Scientists (and high school students alike) that use microscopes are surely aware of\u00a0the phenomenon that occurs when looking at a sample \u2013 where only the central\u00a0portion of the image appears very sharp while the rest of it remains vague. Merging\u00a0the images will produce one photo where all of the parts of the specimen are sharp\u00a0and clear. \u201cGoogle Glass is the first device that contains a camera that at every\u00a0snapshot photographs a series of pictures and merges them,” added Professor Milanfar.<\/p>\n Professor Amnon Shashua from the Hebrew University in Jerusalem, Co-founder,\u00a0Chairman of the Board and CTO of Mobileye and the startup company OrCam,\u00a0described another approach to wearable computing based cameras. OrCam\u00a0developed a system that includes a camera and microphone that fasten onto regular\u00a0eyeglasses. The system allows the visually impaired to point at bobjects such as\u00a0street signs, traffic lights, buses or restaurant menus, and reads it back to them (the\u00a0menu, color at traffic light, street sign, etc\u2026).<\/p>\n \u201cThe OrCam concept differs from Google Glass \u2013 as it doesn\u2019t shoot a photo each\u00a0time the user requests a picture but rather shoots a continuous video and performs\u00a0immediate processing. This requires a completely different deployment in terms of\u00a0hardware and particularly with regards to energy consumption,\u201d said Professor\u00a0Shashua.<\/p>\n","protected":false},"excerpt":{"rendered":" Professor Peyman Milanfar from the University of California\u00a0Santa Cruz, at the Technion Conference: To improve the quality of digital photography in small\u00a0cameras it will be necessary to take a number of\u00a0pictures and merge them together into one good image\u00a0\u2013 Google Glass are the first to do so. \u201cThose of you with a keen eye and… Continue Reading Google Glass & TCE<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[24],"tags":[],"class_list":["post-83929","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"acf":[],"yoast_head":"\n<\/a>
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