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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 sharp photograph of the scene. Due to the absence of this focusing element, the lensless camera cap...

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 let's 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 people's [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclin...

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 how to lead a company. It all positioned her to become CEO of PAR Technologies, lead its turnaround a...

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 from Kanazawa University has demonstrated a technique that reduces the computing time for non-rigid...

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 robotic manipulation.