Patent application number | Description | Published |
20110273457 | STABLE SPACES FOR RENDERING CHARACTER GARMENTS IN REAL-TIME - Techniques are disclosed for providing a learning-based clothing model that enables the simultaneous animation of multiple detailed garments in real-time. A simple conditional model learns and preserves key dynamic properties of cloth motions and folding details. Such a conditional model may be generated for each garment worn by a given character. Once generated, the conditional model may be used to determine complex body/cloth interactions in order to render the character and garment from frame-to-frame. The clothing model may be used for a variety of garments worn by male and female human characters (as well as non-human characters) while performing a varied set of motions typically used in video games (e.g., walking, running, jumping, turning, etc.). | 11-10-2011 |
20120303839 | Elastomeric Input Device - An input device for tracking three-dimensional movements. The input device includes a tracking structure and is in electronic communication with a computing device. The tracking structure is detectable by a tracking device. The tracking structure is configured so that as the input device is deformed, the tracking structure deforms correspondingly. | 11-29-2012 |
20120327194 | MOTION CAPTURE FROM BODY MOUNTED CAMERAS - Body-mounted cameras are used to accurately reconstruct the motion of a subject. Outward-looking cameras are attached to the limbs of the subject, and the joint angles and root pose that define the subject's configuration are estimated through a non-linear optimization, which can incorporate image matching error and temporal continuity of motion. Instrumentation of the environment is not required, allowing for motion capture over extended areas and in outdoor settings. | 12-27-2012 |
20130271458 | MODELING HUMAN-HUMAN INTERACTIONS FOR MONOCULAR 3D POSE ESTIMATION - Techniques are disclosed for the automatic recovery of two dimensional (2D) and three dimensional (3D) poses of multiple subjects interacting with one another, as depicted in a sequence of 2D images. As part of recovering 2D and 3D pose estimates, a pose recovery tool may account for constraints on positions of body parts of the first and second person resulting from the correlated activity. That is, individual subjects in the video are treated as mutual context for one another. | 10-17-2013 |
20140143183 | HIERARCHICAL MODEL FOR HUMAN ACTIVITY RECOGNITION - The disclosure provides an approach for recognizing and analyzing activities. In one embodiment, a learning application trains parameters of a hierarchical model which represents human (or object) activity at multiple levels of detail. Higher levels of detail may consider more context, and vice versa. Further, learning may be optimized for a user-preferred type of inference by adjusting a learning criterion. An inference application may use the trained model to answer queries about variable(s) at any level of detail. In one embodiment, the inference application may determine scores for each possible value of the query variable by finding the best hierarchical event representation that maximizes a scoring function while fixing the value of the query variable to its possible values. Here, the inference application may approximately determine the best hierarchical event representation by iteratively optimizing one level-of-detail variable at a time while fixing other level-of-detail variables, until convergence. | 05-22-2014 |
20140198108 | MULTI-LINEAR DYNAMIC HAIR OR CLOTHING MODEL WITH EFFICIENT COLLISION HANDLING - Systems and method for modeling hair in real-time with user interactive controls are presented. One embodiment may take the form of a method of hair motion modeling including representing hair with hair guides, each hair guide comprising a plurality of hair points and reducing a dimensionality of the hair guides to achieve a reduced sub-space. Additionally, the method includes generating a data tensor for multiple factors related to the hair guides and decomposing the tensor to create a model characterizing the multiple factors in a multi-linear hair framework. The hair may be hair, such as human hair, animal fur, or clothing fibers. | 07-17-2014 |
20150143236 | GENERATING PHOTO ALBUMS FROM UNSORTED COLLECTIONS OF IMAGES - Techniques for generating a photo album are described. Embodiments analyze a plurality of photo albums to determine photo album characteristics, where each of the plurality of photo albums comprises a respective plurality of digital photographs arranged in a respective order. Here, the plurality of photo albums relate to one or more digital photograph collections. Additionally, a digital photograph collection is processed to determine characteristics of each digital photograph within the digital photograph collection. Embodiments also generate a photo album using digital photographs from the digital photograph collection, based on the determined photograph album characteristics, where the generated photo album comprises a second plurality of digital photographs arranged in a determined order. | 05-21-2015 |