Abstract: A knuckle and support structure for a reverse buckling rupture disc is described.

Abstract: By monitoring requests to and from components of an application, an application analysis engine generates an inter-component graph for an application that identifies how the various components in the application are connected. When a performance issue is detected in association with the application, a traversal module traverses the inter-component graph to determine the possible execution paths that may have been the cause of the detected issue. The traversal module transmits requests to the correlation module to compare the metrics time series of the different components in the execution path with the detected issue. The correlation module compares metrics time series with the issue metric to identify correlations between execution patterns. The results of the correlation may be presented in a report that visually identify the root cause of the detected issues.

Abstract: By monitoring requests to and from components of an application, an application analysis engine generates an inter-component graph for an application that identifies how the various components in the application are connected. When a performance issue is detected in association with the application, a traversal module traverses the inter-component graph to determine the possible execution paths that may have been the cause of the detected issue. The traversal module transmits requests to the correlation module to compare the metrics time series of the different components in the execution path with the detected issue. The correlation module compares metrics time series with the issue metric to identify correlations between execution patterns. The results of the correlation may be presented in a report that visually identify the root cause of the detected issues.

Abstract: By monitoring requests to and from components of an application, an application analysis engine generates an inter-component graph for an application that identifies how the various components in the application are connected. When a performance issue is detected in association with the application, a traversal module traverses the inter-component graph to determine the possible execution paths that may have been the cause of the detected issue. The traversal module transmits requests to the correlation module to compare the metrics time series of the different components in the execution path with the detected issue. The correlation module compares metrics time series with the issue metric to identify correlations between execution patterns. The results of the correlation may be presented in a report that visually identify the root cause of the detected issues.

Abstract: Systems and techniques for dynamically capturing and reconstructing lighting are provided. The systems and techniques may be based on a stream of images capturing the lighting within an environment as a scene is shot. Reconstructed lighting data may be used to illuminate a character in a computer-generated environment as the scene is shot. For example, a method may include receiving a stream of images representing lighting of a physical environment. The method may further include compressing the stream of images to reduce an amount of data used in reconstructing the lighting of the physical environment and may further include outputting the compressed stream of images for reconstructing the lighting of the physical environment using the compressed stream, the reconstructed lighting being used to render a computer-generated environment.

Abstract: By monitoring requests to and from components of an application, an application analysis engine generates an inter-component graph for an application that identifies how the various components in the application are connected. When a performance issue is detected in association with the application, a traversal module traverses the inter-component graph to determine the possible execution paths that may have been the cause of the detected issue. The traversal module transmits requests to the correlation module to compare the metrics time series of the different components in the execution path with the detected issue. The correlation module compares metrics time series with the issue metric to identify correlations between execution patterns. The results of the correlation may be presented in a report that visually identify the root cause of the detected issues.

Abstract: Methods and systems are disclosed for calibrating a camera using a calibration target apparatus that contains at least one fiducial marking on a planar surface. The set of all planar markings on the apparatus are distinguishable. Parameters of the camera are inferred from at least one image of the calibration target apparatus. In some embodiments, pixel coordinates of identified fiducial markings in an image are used with geometric knowledge of the apparatus to calculate camera parameters.

Abstract: An apparatus is disclosed which may serve as a target for calibrating a camera. The apparatus comprises one or more planar surfaces. The apparatus includes at least one fiducial marking on a planar surface. The set of all planar markings on the apparatus are distinguishable.

Abstract: An apparatus is disclosed which may serve as a target for calibrating a camera. The apparatus comprises one or more planar surfaces. The apparatus includes at least one fiducial marking on a planar surface. The set of all planar markings on the apparatus are distinguishable.

Abstract: Methods and systems are disclosed for calibrating a camera using a calibration target apparatus that contains at least one fiducial marking on a planar surface. The set of all planar markings on the apparatus are distinguishable. Parameters of the camera are inferred from at least one image of the calibration target apparatus. In some embodiments, pixel coordinates of identified fiducial markings in an image are used with geometric knowledge of the apparatus to calculate camera parameters.

Abstract: Systems and techniques for dynamically capturing and reconstructing lighting are provided. The systems and techniques may be based on a stream of images capturing the lighting within an environment as a scene is shot. Reconstructed lighting data may be used to illuminate a character in a computer-generated environment as the scene is shot. For example, a method may include receiving a stream of images representing lighting of a physical environment. The method may further include compressing the stream of images to reduce an amount of data used in reconstructing the lighting of the physical environment and may further include outputting the compressed stream of images for reconstructing the lighting of the physical environment using the compressed stream, the reconstructed lighting being used to render a computer-generated environment.