首页|Patent Issued for Dimension estimation using duplicate instance identification in a multiview and multiscale system (USPTO 11875496)

Patent Issued for Dimension estimation using duplicate instance identification in a multiview and multiscale system (USPTO 11875496)

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A patent by the inventors Jain, Chirag (Bangalore, IN), Jain, Payanshi (Jaipur, IN), Katiyar, Rajat (Lucknow, IN), Khan, Mohiuddin (Bangalore, IN), Menon, Sreekanth (Bangalore, IN), Nvs, Abhilash (Bhubaneswar, IN), Nvss, Koundinya K. (Tirupati, IN), Sati, Ankit (New Delhi, IN), filed on August 25, 2021, was published online on January 16, 2024, according to news reporting originating from Alexandria, Virginia, by NewsRx correspondents. Patent number 11875496 is assigned to Genpact Luxembourg S.a R.L. Ⅱ (Luxembourg, Luxembourg). The following quote was obtained by the news editors from the background information supplied by the inventors: “Multiview systems, where multiple cameras capture the same scene, are widely used in applications such as surveillance systems, public security systems, video-assisted refereeing, umpiring in sports, etc. It becomes increasingly popular to use the multiview systems to collect a vast amount of information in the applications for reliable data analysis, three-dimensional reconstructions, or implementation of other tasks. For each of these implementations, the same instance of an object of interest is required to be segmented in the multiple images that are captured from different angles and different zoom settings. In other words, reliable identification of duplicate instances of the object of interest from the multiple images is required to avoid double counting and overcompensating. The existing duplication identification methods, however, are complex and time-consuming. Another challenge is accurate physical dimension detection for an object by merely using images of the object obtained in a multiview system. This is particularly complicated when the images are captured by mobile devices in an uncontrolled environment.

CyborgsEmerging TechnologiesGenpact Luxembourg S.a R.L. IIMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Feb.1)