Abstract: Systems and methods are described for receiving, at a computing device, a plurality of video sources related to an event. For each video source of the plurality of video sources, the systems and methods further provide for analyzing, by the computing device, the video source of the plurality of video sources to determine a device orientation to associate with the video source, associating, by the computing device, the device orientation with the video source, and storing, by the computing device, the video source and the associated device orientation.

Abstract: Systems and methods for image based location estimation are described. In one example embodiment, a first positioning system is used to generate a first position estimate. A set of structure façade data describing one or more structure façades associated with the first position estimate is then accessed. A first image of an environment is captured, and a portion of the image is matched to part of the structure façade data. A second position is then estimated based on a comparison of the structure façade data with the portion of the image matched to the structure façade data.

Abstract: Systems and methods for image based location estimation are described. In one example embodiment, a first positioning system is used to generate a first position estimate. A set of structure façade data describing one or more structure facades associated with the first position estimate is then accessed. A first image of an environment is captured, and a portion of the image is matched to part of the structure façade data. A second position is then estimated based on a comparison of the structure façade data with the portion of the image matched to the structure façade data.

Abstract: Systems and methods for local augmented reality (AR) tracking of an AR object are disclosed. In one example embodiment a device captures a series of video image frames. A user input is received at the device associating a first portion of a first image of the video image frames with an AR sticker object and a target. A first target template is generated to track the target across frames of the video image frames. In some embodiments, global tracking based on a determination that the target is outside a boundary area is used. The global tracking comprises using a global tracking template for tracking movement in the video image frames captured following the determination that the target is outside the boundary area. When the global tracking determines that the target is within the boundary area, local tracking is resumed along with presentation of the AR sticker object on an output display of the device.

Abstract: Systems and methods for image based location estimation are described. In one example embodiment, a first positioning system is used to generate a first position estimate. A set of structure façade data describing one or more structure façades associated with the first position estimate is then accessed. A first image of an environment is captured, and a portion of the image is matched to part of the structure façade data. A second position is then estimated based on a comparison of the structure façade data with the portion of the image matched to the structure façade data.

Abstract: Systems and methods for image based location estimation are described. In one example embodiment, a first positioning system is used to generate a first position estimate. A set of structure façade data describing one or more structure façades associated with the first position estimate is then accessed. A first image of an environment is captured, and a portion of the image is matched to part of the structure façade data. A second position is then estimated based on a comparison of the structure façade data with the portion of the image matched to the structure façade data.

Abstract: An interventional optical molecular imaging system and method are provided for use with a biopsy introducer needle. The system includes an imaging tool configured to slide coaxially through the biopsy introducer needle toward a tip of the biopsy introducer needle. The system also includes a laser illumination source coupled to the imaging tool, a camera configured to capture images from the imaging tool, and a computer coupled to the camera and the laser illumination source. The computer includes a processor configured to activate the laser illumination source to emit light through a tip of the imaging tool, collect imaging data from the camera after activating the laser illumination source, analyze the imaging data to determine a fluorescence measurement at the tip of the imaging tool, and display an indication of the fluorescence measurement.

Abstract: An optical imaging method for analyzing an ex vivo tissue sample of a subject is provided. The method includes obtaining the ex vivo tissue sample, preparing the ex vivo tissue sample onto a sample receptacle of an optical imaging system, and emitting excitation light toward the ex vivo tissue sample. The method also includes acquiring imaging data of light emitted by the ex vivo tissue sample in response to the excitation light, analyzing the imaging data to determine whether the ex vivo tissue sample contains pathologic tissue, and generating an output indicating to an operator whether the ex vivo tissue sample contains pathologic tissue.

Abstract: An imaging system divides image pixels intensities by exposure time to generate image data in units of intensity per time. The imaging system divides a fluorescent light image in intensity per time units by an excitation light image in intensity per time units to provide a quantitative corrected fluorescent light image that is generally invariant to position of an imaging instrument relative to a biological tissue being imaged.

Abstract: An imaging system divides image pixels intensities by exposure time to generate image data in units of intensity per time. The imaging system divides a fluorescent light image in intensity per time units by an excitation light image in intensity per time units to provide a quantitative corrected fluorescent light image that is generally invariant to position of an imaging instrument relative to a biological tissue being imaged.

Abstract: An imaging system divides image pixels intensities by exposure time to generate image data in units of intensity per time. The imaging system divides a fluorescent light image in intensity per time units by an excitation light image in intensity per time units to provide a quantitative corrected fluorescent light image that is generally invariant to position of an imaging instrument relative to a biological tissue being imaged.

Abstract: A system and method for modeling industrial processes is described. One embodiment includes collecting a plurality of flowsheets, which include corresponding groups of unit models and combining the plurality of flowsheets to create a combined model. In addition, a first macro associated with a first flowsheet is initiated and other macros by the same name as the first macro are automatically executed. In variations, the other macros are executed from a lowest hierarchical level flowsheet relative to the first flowsheet to a higher hierarchical level until the first macro is run.

Abstract: An imaging system divides image pixels intensities by exposure time to generate image data in units of intensity per time. The imaging system divides a fluorescent light image in intensity per time units by an excitation light image in intensity per time units to provide a quantitative corrected fluorescent light image that is generally invariant to position of an imaging instrument relative to a biological tissue being imaged.

Abstract: A system and method for modeling industrial processes is described. One embodiment includes collecting a plurality of flowsheets, which include corresponding groups of unit models and combining the plurality of flowsheets to create a combined model. In addition, a first macro associated with a first flowsheet is initiated and other macros by the same name as the first macro are automatically executed. In variations, the other macros are executed from a lowest hierarchical level flowsheet relative to the first flowsheet to a higher hierarchical level until the first macro is run.