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公开(公告)号：US20190080503A1
公开(公告)日：2019-03-14
申请号：US15898160
申请日：2018-02-15
Applicant: Tata Consultancy Services Limited
Inventor： Brojeshwar BHOWMICK , Swapna AGARWAL , Sanjana SINHA , Balamuralidhar PURUSHOTHAMAN , Apurbaa MALLIK
CPC classification number: G06T15/04 , G06T7/254 , G06T15/08 , G06T17/005 , G06T2200/04 , G06T2207/10028 , G06T2207/20072
Abstract: Methods and systems for change detection utilizing three dimensional (3D) point-cloud processing are provided. The method includes detecting changes in the surface based on a surface fitting approach with a locally weighted Moving Least Squares (MLS) approximation. The method includes acquiring and comparing surface geometry of a reference point-cloud defining a reference surface and a template point-cloud defining a template surface at local regions or local surfaces using the surface fitting approach. The method provides effective change detection for both, rigid as well as non-rigid changes, reducing false detections due to presence of noise and is independent of factors such as texture or illumination of an object or scene being tracked for changed detection.
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2.发明申请公开(公告)号：US20220147750A1
公开(公告)日：2022-05-12
申请号：US17518921
申请日：2021-11-04
Applicant: Tata Consultancy Services Limited
Inventor： Swapna AGARWAL , Sujit SHINDE , Dibyanshu JAISWAL , Avik GHOSE , Sanjay KIMBAHUNE
Abstract: Embodiments herein provide a method and system for real time ROI detection in thermal face images based on a heuristic approach. The ROI of the thermal images, once detected, is then further used to detect temperature of a subject corresponding to the ROI. Unlike state of the art techniques, the heuristic approach is computationally less intensive and provides fast and accurate ROI detection even in case of occluded faces in a crowd with a single thermal image having a plurality of subject being scanned. The heuristics applied does not focus on face detection but directly on point of interest detection. Once the point of interest (ROI) is detected, it may be used for plurality of applications such as subject tracking and the like, not limited to subject or object temperature sensing since the method disclosed herein is easily implementable on low power devices.
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公开(公告)号：US20220058850A1
公开(公告)日：2022-02-24
申请号：US17405765
申请日：2021-08-18
Applicant: Tata Consultancy Services Limited
Inventor： Swapna AGARWAL , Dipanjan DAS , Brojeshwar BHOWMICK
Abstract: This disclosure relates generally to a method and system for generating 2D animated lip images synchronizing to an audio signal for an unseen subject. Recent advances in Convolutional Neural Network (CNN) based approaches generate convincing talking heads. Personalization of such talking heads requires training the model with large number of samples of the target person which is time consuming. The lip generator system receives an audio signal and a target lip image of an unseen target subject as inputs from a user and processes these inputs to extract a plurality of high dimensional audio image features. The lip generator system is meta-trained with training dataset which consists of large variety of subjects' ethnicity and vocabulary. The meta-trained model generates realistic animation for previously unseen face and unseen audio when finetuned with only a few-shot samples for a predefined interval of time. Additionally, the method protects intrinsic features of the unseen target subject.
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公开(公告)号：US20190073744A1
公开(公告)日：2019-03-07
申请号：US15872557
申请日：2018-01-16
Applicant: Tata Consultancy Services Limited
Inventor： Swapna AGARWAL , Brojeshwar BHOWMICK
CPC classification number: G06T3/0075 , G06T7/30 , G06T7/32 , G06T7/337 , G06T7/37 , G06T2207/10028 , G06T2207/20016
Abstract: Systems and methods of the present disclosure facilitate rigid point cloud registration with characteristics including shape constraint, translation proportional to distance and spatial point-set distribution model for handling scale. The method of the present disclosure enables registration of a rigid template point cloud to a given reference point cloud. Shape-constrained gravitation, as induced by the reference point cloud, controls movement of the template point cloud such that at each iteration, the template point cloud better aligns with the reference point cloud in terms of shape. This enables alignment in difficult conditions introduced by change such as presence of outliers and/or missing parts, translation, rotation and scaling. Also, systems and methods of the present disclosure provide an automated method as against conventional methods that depended on manually adjusted parameters.
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