-
11.发明申请公开(公告)号：US20220036617A1
公开(公告)日：2022-02-03
申请号：US17199149
申请日：2021-03-11
Applicant: Tata Consultancy Services Limited
Inventor： Sandika BISWAS , Dipanjan DAS , Sanjana SINHA , Brojeshwar BHOWMICK
Abstract: Conventional state-of-the-art methods are limited in their ability to generate realistic animation from audio on any unknown faces and cannot be easily generalized to different facial characteristics and voice accents. Further, these methods fail to produce realistic facial animation for subjects which are quite different than that of distribution of facial characteristics network has seen during training. Embodiments of the present disclosure provide systems and methods that generate audio-speech driven animated talking face using a cascaded generative adversarial network (CGAN), wherein a first GAN is used to transfer lip motion from canonical face to person-specific face. A second GAN based texture generator network is conditioned on person-specific landmark to generate high-fidelity face corresponding to the motion. Texture generator GAN is made more flexible using meta learning to adapt to unknown subject's traits and orientation of face during inference. Finally, eye-blinks are induced in the final animation face being generated.
-
公开(公告)号：US20210042996A1
公开(公告)日：2021-02-11
申请号：US16918743
申请日：2020-07-01
Applicant: Tata Consultancy Services Limited
Inventor： Dipanjan DAS , Brojeshwar BHOWMICK , Aniket POKALE , Krishnan Madhava KRISHNA , Aditya AGGARWAL
Abstract: The embodiments herein provide a system and method for integrating objects in monocular simultaneous localization and mapping (SLAM). State of art object SLAM approach use two popular threads. In first, instance specific models are assumed to be known a priori. In second, a general model for an object such as ellipsoids and cuboids is used. However, these generic models just give the label of the object category and do not give much information about the object pose in the map. The method and system disclosed provide a SLAM framework on a real monocular sequence wherein joint optimization is performed on object localization and edges using category level shape priors and bundle adjustment. The method provides a better visualization incorporating object representations in the scene along with the 3D structure of the base SLAM system, which makes it useful for augmented reality (AR) applications.
-
13.发明申请公开(公告)号：US20200327642A1
公开(公告)日：2020-10-15
申请号：US16830328
申请日：2020-03-26
Applicant: Tata Consultancy Services Limited
Inventor： Arindam SAHA , Soumyadip MAITY , Brojeshwar BHOWMICK
Abstract: The present disclosure provides a system and a method for stitching images using non-linear optimization and multi-constraint cost function minimization. Most of conventional homography based transformation approaches for image alignment, calculate transformations based on linear algorithms which ignore parameters such as lens distortion and unable to handle parallax for non-planar images resulting in improper image stitching with misalignments. The disclosed system and the method generates initial stitched image by estimating a global homography for each image using estimated pairwise homography matrix and feature point correspondences for each pair of images, based on a non-linear optimization. Local warping based image alignment is applied on the initial stitched image, using multi-constraint cost function minimization to mitigate aberrations caused by noises in the global homography estimation to generate the refined stitched image. The refined stitched image is accurate and free from misalignments and poor intensities.
-
公开(公告)号：US20180085045A1
公开(公告)日：2018-03-29
申请号：US15466692
申请日：2017-03-22
Applicant: Tata Consultancy Services Limited
Inventor： Kingshuk CHAKRAVARTY , Aniruddha SINHA , Brojeshwar BHOWMICK , Sanjana SINHA , Abhijit DAS
CPC classification number: A61B5/4023 , A61B5/1114 , A61B5/1117 , A61B5/1128 , A61B5/7203 , A61B5/7225 , A61B5/7235 , A61B5/7278
Abstract: A method and system for determining postural balance of the person is provided. The disclosure provides a single limb stance body balance analysis system which will aid medical practitioners to analyze crucial factor for fall risk minimization, injury prevention, fitness and rehabilitation. Skeleton data was captured using Kinect. Two parameters vibration-jitter and force per unit mass (FPUM) are derived for each body part to assess postural stability during SLS. Further, the vibration and force imposed on each joint a first balance score was quantified. A first balance score and a second balance are also calculated by combining vibration index and SLS duration to indicate the postural balance of the person. The vibration index is computed from the vibration profile associated different body segments.
-
公开(公告)号：US20150371396A1
公开(公告)日：2015-12-24
申请号：US14493959
申请日：2014-09-23
Applicant: Tata Consultancy Services Limited
Inventor： Brojeshwar BHOWMICK , Apurbaa MALLIK , Arindam SAHA
CPC classification number: G06T7/593 , G06K9/209 , G06K2209/40 , G06T7/579 , G06T7/80 , G06T7/97 , G06T2200/08 , G06T2207/10021
Abstract: Disclosed is a method and system for constructing a 3D structure. The system of the present disclosure comprises an image capturing unit for capturing images of an object. The system comprises of a gyroscope, a magnetometer, and an accelerometer for determining extrinsic camera parameters, wherein the extrinsic camera parameters comprise a rotation and a translation of the images. Further the system determines an internal calibration matrix once. The system uses the extrinsic camera parameters and the internal calibration matrix for determining a fundamental matrix. The system extracts features of the images for establishing point correspondences between the images. Further, the point correspondences are filtered using the fundamental matrix for generating filtered point correspondences. The filtered point correspondences are triangulated for determining 3D points representing the 3D structure. Further, the 3D structure may be optimized for eliminating reprojection errors associated with the 3D structure.
Abstract translation: 公开了一种用于构造3D结构的方法和系统。 本公开的系统包括用于捕获对象的图像的图像捕获单元。 该系统包括陀螺仪，磁力计和用于确定外在摄像机参数的加速度计，其中外在摄像机参数包括图像的旋转和平移。 此外，系统确定内部校准矩阵一次。 该系统使用外在摄像机参数和内部校准矩阵来确定基本矩阵。 系统提取图像的特征以建立图像之间的点对应。 此外，使用用于生成滤波点对应的基本矩阵来对点对应进行滤波。 过滤的点对应被三角测量，用于确定表示3D结构的3D点。 此外，可以优化3D结构以消除与3D结构相关联的重新投射错误。
-
Patent Agency Ranking
公开(公告)号：US20220219325A1
公开(公告)日：2022-07-14
申请号：US17199182
申请日：2021-03-11
Applicant: Tata Consultancy Services Limited
Inventor： Abhijan BHATTACHARYYA , Ruddra dev ROYCHOUDHURY , Sanjana SINHA , Sandika BISWAS , Ashis SAU , Madhurima GANGULY , Sayan PAUL , Brojeshwar BHOWMICK
Abstract: This disclosure relates generally to navigation of a tele-robot in dynamic environment using in-situ intelligence. Tele-robotics is the area of robotics concerned with the control of robots (tele-robots) in a remote environment from a distance. In reality the remote environment where the tele robot navigates may be dynamic in nature with unpredictable movements, making the navigation extremely challenging. The disclosure proposes an in-situ intelligent navigation of a tele-robot in a dynamic environment. The disclosed in-situ intelligence enables the tele-robot to understand the dynamic environment by identification and estimation of future location of objects based on a generating/training a motion model. Further the disclosed techniques also enable communication between a master and the tele-robot (whenever necessary) based on an application layer communication semantic.
-
公开(公告)号：US20210366173A1
公开(公告)日：2021-11-25
申请号：US17036583
申请日：2020-09-29
Applicant: Tata Consultancy Services Limited
Inventor： Sanjana SINHA , Sandika BISWAS , Brojeshwar BHOWMICK
Abstract: Speech-driven facial animation is useful for a variety of applications such as telepresence, chatbots, etc. The necessary attributes of having a realistic face animation are: 1) audiovisual synchronization, (2) identity preservation of the target individual, (3) plausible mouth movements, and (4) presence of natural eye blinks. Existing methods mostly address audio-visual lip synchronization, and synthesis of natural facial gestures for overall video realism. However, existing approaches are not accurate. Present disclosure provides system and method that learn motion of facial landmarks as an intermediate step before generating texture. Person-independent facial landmarks are generated from audio for invariance to different voices, accents, etc. Eye blinks are imposed on facial landmarks and the person-independent landmarks are retargeted to person-specific landmarks to preserve identity related facial structure. Facial texture is then generated from person-specific facial landmarks that helps to preserve identity-related texture.
-
公开(公告)号：US20210208581A1
公开(公告)日：2021-07-08
申请号：US16988453
申请日：2020-08-07
Applicant: Tata Consultancy Services Limited
Inventor： Abhijan BHATTACHARYYA , Ashis SAU , Ruddra Dev ROYCHOUDHURY , Hrishav Bakul BARUA , Chayan SARKAR , Sayan PAUL , Brojeshwar BHOWMICK , Arpan PAL , Balamuralidhar PURUSHOTHAMAN
Abstract: Robotic platform for tele-presence applications has gained paramount importance, such as for remote meetings, group discussions, and the like and has sought much attention. There exist some robotic platforms for such tele-presence applications, these lack efficacy in communication and interaction between remote person and avatar robot deployed in another geographic location thus adding network overhead. Embodiments of the present disclosure for edge centric communication protocol for remotely maneuvering tele-presence robot in geographically distributed environment. More specifically, edge-centric tele-presence robot architecture is provided for maneuvering tele-presence robot in distributed geographical environment, wherein the architecture provides a framework that implements both cloud and edge-centric systems together with a first communication protocol for communication between a master device and an edge device and a second communication protocol different from the first communication protocol for communication between the edge device and the tele-presence robot to improve robustness and efficacy in communication.
-
公开(公告)号：US20200342270A1
公开(公告)日：2020-10-29
申请号：US16815206
申请日：2020-03-11
Applicant: Tata Consultancy Services Limited
Inventor： Sandika BISWAS , Sanjana SINHA , Kavya GUPTA , Brojeshwar BHOWMICK
Abstract: Estimating 3D human pose from monocular images is a challenging problem due to the variety and complexity of human poses and the inherent ambiguity in recovering depth from single view. Recent deep learning based methods show promising results by using supervised learning on 3D pose annotated datasets. However, the lack of large-scale 3D annotated training data makes the 3D pose estimation difficult in-the-wild. Embodiments of the present disclosure provide a method which can effectively predict 3D human poses from only 2D pose in a weakly-supervised manner by using both ground-truth 3D pose and ground-truth 2D pose based on re-projection error minimization as a constraint to predict the 3D joint locations. The method may further utilize additional geometric constraints on reconstructed body parts to regularize the pose in 3D along with minimizing re-projection error to improvise on estimating an accurate 3D pose.
-
20.发明申请公开(公告)号：US20200210265A1
公开(公告)日：2020-07-02
申请号：US16728528
申请日：2019-12-27
Applicant: Tata Consultancy Services Limited
Inventor： Avik GHOSE , Brojeshwar BHOWMICK
IPC: G06F11/07
Abstract: This disclosure relates generally to a method and system for prediction of correct discrete sensor data, thus enabling continuous flow of data even when a discrete sensor fails. The activities of humans/subjects, housed in a smart environment is continuously monitored by plurality of non-intrusive discrete sensors embedded in living infrastructure. The collected discrete sensor data is usually sparse and largely unbalanced, wherein most of the discrete sensor data is ‘No’ and comparatively only a few samples of ‘Yes’, hence making prediction very challenging. The proposed prediction techniques based on introduction of temporal uncertainty is performed in several stages which includes pre-processing of received discrete sensor data, introduction of temporal uncertainty techniques followed by prediction based on neural network techniques of learning pattern using historical data.
-
-
-
-
-
-
-
-
-
Search Results
22
records
(took 0.019 seconds)
