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VREX Launches World's First Point Cloud Support for BIM Collaboration in Virtual Reality

/PRNewswire/ VREX, the leading provider of virtual reality (VR) collaboration software, today announced its release of the world s first direct Point Cloud. ....

Hans Johansen , Hans Fredrik Johansen , Point Cloud , Rune Vandli , Point Clouds ,

Apple files for a Patent that describes the use of a 'Point Cloud' for real time applications such as AR/VR, Sports Broadcasting, Vehicles & more


Apple files for a Patent that describes the use of a Point Cloud for real time applications such as AR/VR, Sports Broadcasting, Vehicles & more
 
Apple brought its high-end LiDAR scanner to the iPhone 12 Pro in 2020 that Apple claimed would produce more realistic augmented reality. Apple added that LiDAR allows virtual objects to be placed instantly and precisely for ultrarealistic AR experiences; It uses light to measure the distance of physical objects and create an accurate depth map of your space in nanoseconds; and delivers up to 6x faster autofocus in low light and enables Night mode portraits on the Wide camera. Apple s use of LiDAR has only just begun. Today the US Patent & Trademark Office published a patent application from Apple that relates to their work on LiDAR in context to Point Cloud Compression. ....

David Flynn , Us Patent Trademark Office , Trademark Office , Cloud Compression , Project Titan , Point Clouds , Encoding Using Octrees And Predictive , டேவிட் ஃப்லிந் , எங்களுக்கு காப்புரிமை முத்திரை அலுவலகம் , முத்திரை அலுவலகம் , மேகம் சுருக்க , ப்ராஜெக்ட் டைட்டன் , பாயஂட் மேகங்கள் ,

Generating Synthetic Objects to Train Robots


Generating Synthetic Objects to Train Robots
Written by AZoRoboticsJan 20 2021
Before he joined the University of Texas at Arlington as an Assistant Professor in the Department of Computer Science and Engineering and founded the Robotic Vision Laboratory there, William Beksi interned at iRobot, the world s largest producer of consumer robots (mainly through its Roomba robotic vacuum).
To navigate built environments, robots must be able to sense and make decisions about how to interact with their locale. Researchers at the company were interested in using machine and deep learning to train their robots to learn about objects, but doing so requires a large dataset of images. ....

United States , William Beksi , Mohammad Samiul Arshad , Department Of Computer Science , Robotic Vision Laboratory , University Of Texas Cyberinfrastructure Research , International Conference , University Of Texas At Arlington , Assistant Professor , Computer Science , Generating Dense , Point Clouds , Texas Cyberinfrastructure Research , ஒன்றுபட்டது மாநிலங்களில் , துறை ஆஃப் கணினி அறிவியல் , ரோபோடிக் பார்வை ஆய்வகம் , பல்கலைக்கழகம் ஆஃப் டெக்சாஸ் சைபர் இன்ஃப்ராஸ்ட்ரக்சர் ஆராய்ச்சி , சர்வதேச மாநாடு , பல்கலைக்கழகம் ஆஃப் டெக்சாஸ் இல் ஆர்லிங்டன் , உதவியாளர் ப்ரொஃபெஸர் , கணினி அறிவியல் , ஜெநரேடிஂக் அடர்த்தியான , பாயஂட் மேகங்கள் , டெக்சாஸ் சைபர் இன்ஃப்ராஸ்ட்ரக்சர் ஆராய்ச்சி ,