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Indian, US researchers develop algorithms for lensless, miniature cameras with futuristic applications

Indian, US researchers develop algorithms for lensless, miniature cameras with futuristic applications They offer imaging capabilities similar to conventional cameras, but at much lesser weight, cost and nearly-flat cameras. Share Updated: May 17, 2021, 05:10 PM IST Researchers from IIT Madras and Rice University, USA, have developed algorithms for lensless, miniature cameras that have applications in Augmented/Virtual reality, security, smart wearables, robotics among others. Lensless cameras ...
United States Tamil Nadu Vivek Boominathan Ashok Veeraghavan Ashok Veeraraghavan Kaushik Mitra

IIT Madras And Rice University Researchers Develop Algorithms For Lensless, Miniature Cameras

The Team used ‘deep learning’ to develop a reconstruction algorithm called ‘FlatNet’ for lensless cameras which produces photorealistic images from lensless captures, reducing the gap in photograph quality between conventional cameras and ultra-thin lensless cameras
Tamil Nadu Vivek Boominathan Ashok Veeraghavan Ashok Veeraraghavan Kaushik Mitra Varun Sundar

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IIT Madras & Rice University Researchers develop Algorithms for Lensless, Miniature Cameras

Share Chennai: Indian Institute of Technology Madras and Rice University, U.S., have developed algorithms for lensless, miniature cameras. Such lensless cameras have numerous vision applications in areas such as Augmented Reality (AR)/ Virtual Reality (VR), security, smart wearables and robotics where cost, form-factor, and weight are major constraints (see Figure 1). Lensless cameras do not have a lens which, in a conventional camera, acts as a focusing element allowing the sensor to capture a...
Tamil Nadu Vivek Boominathan Ashok Veeraghavan Ashok Veeraraghavan Kaushik Mitra Varun Sundar

Critique of 2018 Turing Award for Drs. Bengio & Hinton & LeCun

Conclusion (~1,700 words). All backed up by over 200 references (~6,500 words). We must stop crediting the wrong people for inventions made by others. Instead lets heed the recent call in the journal Nature: "Let 2020 be the year in which we value those who ensure that science is self-correcting"[SV20]. Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other peoples [DL1][DL2][HIN]...
United States Holland Library New York United Kingdom British Columbia Mountain View

Karen Sammon on leadership: You are there as a steward for the company

Karen Sammon on leadership: You are there as a steward for the company Updated 5:35 AM; Today 5:35 AM Karen Sammon, left, interviews Tracey Massey, global president of Mars Pet Nutrition, at a Conscious Capitalism CEO Summit in 2018. Sammon is a board member of Conscious Capitalism Inc., an organization that helped hone her business leadership.Courtesy Karen Sammon Facebook Share A diverse range of experiences gave Karen Sammon an understanding of business, the role it plays in society, and h...
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Key task in computer vision and graphics gets a boost

Date Time Key task in computer vision and graphics gets a boost Kanazawa, Japan – Non-rigid point set registration is the process of finding a spatial transformation that aligns two shapes represented as a set of data points. It has extensive applications in areas such as autonomous driving, medical imaging, and robotic manipulation. Now, a method has been developed to speed up this procedure. In a study published in IEEE Transactions on Pattern Analysis and Machine Intelligence, a researcher...
Osamu Hirose Kanazawa University Pattern Analysis Machine Intelligence Computer Vision கனசாவா பல்கலைக்கழகம்

Key task in computer vision and graphics gets a boost

A researcher from Kanazawa University devised a way to speed up a fundamental task in computer vision and graphics known as non-rigid point set registration. Unlike previous registration techniques, the proposed method is computationally efficient even for large data sets. Moreover, the computing times for this method are shorter than those for a state-of-the-art approach. The results of this study could have implications for various fields, such as autonomous driving, medical imaging, and robot...
Osamu Hirose Kanazawa University Pattern Analysis Machine Intelligence Algorithms Models Technology Engineering Computer Science

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