19 results
(View BibTeX file of all listed publications)
2021
Skinned multi-infant linear body model
Hesse, N., Pujades, S., Romero, J., Black, M.
(US Patent 11,127,163, 2021), September 2021 (patent)
A computer-implemented method for automatically obtaining pose and shape parameters of a human body. The method includes obtaining a sequence of digital 3D images of the body, recorded by at least one depth camera; automatically obtaining pose and shape parameters of the body, based on images of the sequence and a statistical body model; and outputting the pose and shape parameters. The body may be an infant body.
2020
Machine learning systems and methods of estimating body shape from images
Black, M., Rachlin, E., Heron, N., Loper, M., Weiss, A., Hu, K., Hinkle, T., Kristiansen, M.
(US Patent 10,679,046), June 2020 (patent)
Disclosed is a method including receiving an input image including a human, predicting, based on a convolutional neural network that is trained using examples consisting of pairs of sensor data, a corresponding body shape of the human and utilizing the corresponding body shape predicted from the convolutional neural network as input to another convolutional neural network to predict additional body shape metrics.
Machine learning systems and methods for augmenting images
Black, M., Rachlin, E., Lee, E., Heron, N., Loper, M., Weiss, A., Smith, D.
(US Patent 10,529,137 B1), January 2020 (patent)
Disclosed is a method including receiving visual input comprising a human within a scene, detecting a pose associated with the human using a trained machine learning model that detects human poses to yield a first output, estimating a shape (and optionally a motion) associated with the human using a trained machine learning model associated that detects shape (and optionally motion) to yield a second output, recognizing the scene associated with the visual input using a trained convolutional neural network which determines information about the human and other objects in the scene to yield a third output, and augmenting reality within the scene by leveraging one or more of the first output, the second output, and the third output to place 2D and/or 3D graphics in the scene.
2019
Method for providing a three dimensional body model
Loper, M., Mahmood, N., Black, M.
September 2019, U.S.~Patent 10,417,818 (patent)
A method for providing a three-dimensional body model which may be applied for an animation, based on a moving body, wherein the method comprises providing a parametric three-dimensional body model, which allows shape and pose variations; applying a standard set of body markers; optimizing the set of body markers by generating an additional set of body markers and applying the same for providing 3D coordinate marker signals for capturing shape and pose of the body and dynamics of soft tissue; and automatically providing an animation by processing the 3D coordinate marker signals in order to provide a personalized three-dimensional body model, based on estimated shape and an estimated pose of the body by means of predicted marker locations.
2018
Method and Apparatus for Estimating Body Shape
Black, M. J., Balan, A., Weiss, A., Sigal, L., Loper, M., St Clair, T.
June 2018, U.S.~Patent 10,002,460 (patent)
A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping.
Co-Registration – Simultaneous Alignment and Modeling of Articulated 3D Shapes
Black, M., Hirshberg, D., Loper, M., Rachlin, E., Weiss, A.
February 2018, U.S.~Patent 9,898,848 (patent)
Present application refers to a method, a model generation unit and a computer program (product) for generating trained models (M) of moving persons, based on physically measured person scan data (S). The approach is based on a common template (T) for the respective person and on the measured person scan data (S) in different shapes and different poses. Scan data are measured with a 3D laser scanner. A generic personal model is used for co-registering a set of person scan data (S) aligning the template (T) to the set of person scans (S) while simultaneously training the generic personal model to become a trained person model (M) by constraining the generic person model to be scan-specific, person-specific and pose-specific and providing the trained model (M), based on the co registering of the measured object scan data (S).
2017
Parameterized Model of 2D Articulated Human Shape
Black, M. J., Freifeld, O., Weiss, A., Loper, M., Guan, P.
September 2017, U.S.~Patent 9,761,060 (patent)
Disclosed are computer-readable devices, systems and methods for generating a model of a clothed body. The method includes generating a model of an unclothed human body, the model capturing a shape or a pose of the unclothed human body, determining two-dimensional contours associated with the model, and computing deformations by aligning a contour of a clothed human body with a contour of the unclothed human body. Based on the two-dimensional contours and the deformations, the method includes generating a first two-dimensional model of the unclothed human body, the first two-dimensional model factoring the deformations of the unclothed human body into one or more of a shape variation component, a viewpoint change, and a pose variation and learning an eigen-clothing model using principal component analysis applied to the deformations, wherein the eigen-clothing model classifies different types of clothing, to yield a second two-dimensional model of a clothed human body.
Crowdshaping Realistic 3D Avatars with Words
Streuber, S., Ramirez, M. Q., Black, M., Zuffi, S., O’Toole, A., Hill, M. Q., Hahn, C. A.
August 2017, Application PCT/EP2017/051954 (patent)
System and method for simulating realistic clothing
June 2017, U.S.~Patent 9,679,409 B2 (patent)
Systems, methods, and computer-readable storage media for simulating realistic clothing. The system generates a clothing deformation model for a clothing type, wherein the clothing deformation model factors a change of clothing shape due to rigid limb rotation, pose-independent body shape, and pose-dependent deformations. Next, the system generates a custom-shaped garment for a given body by mapping, via the clothing deformation model, body shape parameters to clothing shape parameters. The system then automatically dresses the given body with the custom- shaped garment.
2016
Skinned multi-person linear model
Black, M., Loper, M., Mahmood, N., Pons-Moll, G., Romero, J.
December 2016, Application PCT/EP2016/064610 (patent)
The invention comprises a learned model of human body shape and pose dependent shape variation that is more accurate than previous models and is compatible with existing graphics pipelines. Our Skinned Multi-Person Linear model (SMPL) is a skinned vertex based model that accurately represents a wide variety of body shapes in natural human poses. The parameters of the model are learned from data including the rest pose template, blend weights, pose-dependent blend shapes, identity- dependent blend shapes, and a regressor from vertices to joint locations. Unlike previous models, the pose-dependent blend shapes are a linear function of the elements of the pose rotation matrices. This simple formulation enables training the entire model from a relatively large number of aligned 3D meshes of different people in different poses. The invention quantitatively evaluates variants of SMPL using linear or dual- quaternion blend skinning and show that both are more accurate than a Blend SCAPE model trained on the same data. In a further embodiment, the invention realistically models dynamic soft-tissue deformations. Because it is based on blend skinning, SMPL is compatible with existing rendering engines and we make it available for research purposes.
2013
Human Pose Calculation from Optical Flow Data
European Patent Application EP 2843621 , August 2013 (patent)
System and method for generating bilinear spatiotemporal basis models
Matthews, I. A. I. S. T. S. K. S. Y.
US Patent Application 13/425,369, March 2013 (patent)
Techniques are disclosed for generating a bilinear spatiotemporal basis model. A method includes the steps of predefining a trajectory basis for the bilinear spatiotemporal basis model, receiving three-dimensional spatiotemporal data for a training sequence, estimating a shape basis for the bilinear spatiotemporal basis model using the three-dimensional spatiotemporal data, and computing coefficients for the bilinear spatiotemporal basis model using the trajectory basis and the shape basis.
2005
Visual motion analysis method for detecting arbitrary numbers of moving objects in image sequences
Jepson, A. D., Fleet, D. J., Black, M. J.
US Pat. 6,954,544, October 2005 (patent)
A Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Video Proceedings,, pages: 1202, 2005 (patent)
2003
Method and apparatus for generating a condensed version of a video sequence including desired affordances
Black, M. J., Ju, S., Minneman, S., Kimber, D.
US Pat. 6,560,281, May 2003 (patent)
Apparatus and method for identifying and tracking objects with view-based representations
Black, M. J., Jepson, A.
US Pat. 6,526,156, February 2003 (patent)
1995
Apparatus and method for tracking facial motion through a sequence of images
Black, M. J., Yacoob, Y.
US Pat. 5,802,220, December 1995 (patent)
Apparatus and method for recognizing facial expressions and facial gestures in a sequence of images
Black, M. J., Yacoob, Y.
US Pat. 5,774,591, December 1995 (patent)
Image segmentation using robust mixture models
Black, M. J., Jepson, A. D.
US Pat. 5,802,203, June 1995 (patent)