Abstract: This disclosure is related to positioning one or more glass plates between an image sensor and lens of a camera in a scanning camera system; determining plate rotation rates and plate rotation angles based on one of characteristics of the camera, characteristics and positioning of the one or more glass plates, and relative dynamics of the camera and the object area; and rotating the one or more glass plates about one or more predetermined axes based on corresponding plate rotation rates and plate rotation angles.

Abstract: The present disclosure is related to improving image quality in a scanning camera system via scan angle selection to obtain images having overlap for performing image stitching, dynamically tuning an aperture of a camera in the scanning camera system, updating pixel values of an image using vignetting data, or a combination thereof.

Abstract: The present disclosure is related to improving image quality in a scanning camera system via scan angle selection to obtain images having overlap for performing image stitching, dynamically tuning an aperture of a camera in the scanning camera system, updating pixel values of an image using vignetting data, or a combination thereof.

Abstract: This disclosure is related to positioning one or more glass plates between an image sensor and lens of a camera in a scanning camera system; determining plate rotation rates and plate rotation angles based on one of characteristics of the camera, characteristics and positioning of the one or more glass plates, and relative dynamics of the camera and the object area; and rotating the one or more glass plates about one or more predetermined axes based on corresponding plate rotation rates and plate rotation angles.

Abstract: An imaging system can include a first and second camera configured to capture first and second sets of oblique images along first and second scan paths, respectively, on an object area. A drive is coupled to a scanning mirror structure, having at least one mirror surface, and configured to rotate the structure about a scan axis based on a scan angle. The first and second cameras each have an optical axis set at an oblique angle to the scan axis and include a respective lens to focus first and second imaging beams reflected from the mirror surface to an image sensor located in each of the cameras. The first and second imaging beams captured by their respective cameras can vary according to the scan angle. Each of the image sensors captures respective sets of oblique images by sampling the imaging beams at first and second values of the scan angle.

Abstract: An imaging system can include a first and second camera configured to capture first and second sets of oblique images along first and second scan paths, respectively, on an object area. A drive is coupled to a scanning mirror structure, having at least one mirror surface, and configured to rotate the structure about a scan axis based on a scan angle. The first and second cameras each have an optical axis set at an oblique angle to the scan axis and include a respective lens to focus first and second imaging beams reflected from the mirror surface to an image sensor located in each of the cameras. The first and second imaging beams captured by their respective cameras can vary according to the scan angle. Each of the image sensors captures respective sets of oblique images by sampling the imaging beams at first and second values of the scan angle.

Abstract: This disclosure is related to positioning one or more glass plates between an image sensor and lens of a camera in a scanning camera system; determining plate rotation rates and plate rotation angles based on one of characteristics of the camera, characteristics and positioning of the one or more glass plates, and relative dynamics of the camera and the object area; and rotating the one or more glass plates about one or more predetermined axes based on corresponding plate rotation rates and plate rotation angles.

Abstract: An imaging system can include a first and second camera configured to capture first and second sets of oblique images along first and second scan paths, respectively, on an object area. A drive is coupled to a scanning mirror structure, having at least one mirror surface, and configured to rotate the structure about a scan axis based on a scan angle. The first and second cameras each have an optical axis set at an oblique angle to the scan axis and include a respective lens to focus first and second imaging beams reflected from the mirror surface to an image sensor located in each of the cameras. The first and second imaging beams captured by their respective cameras can vary according to the scan angle. Each of the image sensors captures respective sets of oblique images by sampling the imaging beams at first and second values of the scan angle.

Abstract: The present disclosure is directed to a camera configured to capture a set of oblique images along a scan path on an object area; a scanning mirror structure including at least one surface for receiving light from the object area, the at least one surface having at least one first mirror portion at least one second portion comprised of low reflective material arranged around a periphery of the first mirror portion, the low reflective material being less reflective than the first mirror portion; and a drive coupled to the scanning mirror structure and configured to rotate the scanning mirror structure about a rotation axis based on a scan angle. The at least one second portion can be configured to block light that would pass around the first mirror portion and be received by the camera at scan angles beyond the set of scan angles.

Abstract: The present disclosure is related to improving image quality in a scanning camera system via scan angle selection to obtain images having overlap for performing image stitching, dynamically tuning an aperture of a camera in the scanning camera system, updating pixel values of an image using vignetting data, or a combination thereof.

Abstract: A method for synthesising a viewpoint, comprising: capturing a scene using a network of cameras, the cameras defining a system volume of the scene, wherein a sensor of one of the cameras has an output frame rate for the system volume below a predetermined frame rate; selecting a portion of the system volume as an operational volume based on the sensor output frame rate, the predetermined frame rate and a region of interest, the operational volume being a portion of the system volume from which image data for the viewpoint can be synthesised at the predetermined frame rate, wherein a frame rate for synthesising a viewpoint outside the operational volume is limited by the output frame rate; reading, from the sensors at the predetermined frame rate, image data corresponding to the operational volume; and synthesising the viewpoint at the predetermined frame rate using the image data.

Abstract: A method of stabilising frames of a captured video sequence. First reference patch alignment data is received for each of a plurality of reference patch locations. A first stable frame and a subsequent stable frame are determined from a first plurality of frames based on the first plurality of reference patch locations and reference patch alignment data. A second plurality of reference patch locations is determined using image data from the first stable frame, the second plurality of reference patch locations being determined concurrently with determining the subsequent stable frame from the first plurality of frames. Image data for the determined second plurality of reference patch locations is extracted from the subsequent stable frame. A second plurality of stable frames of the captured video sequence is determined with respect to the reference frame using the second plurality of reference patch locations and the extracted image data.

Abstract: A method of segmenting an image of a scene captured using one of a plurality of cameras in a network. A mask of an image of a scene captured by a first one of said cameras is received. A set of pixels in the mask likely to be in a foreground of an image captured by a second one of said cameras is determined based on the received mask, calibration information, and a geometry of the scene. A set of background pixels for the second camera is generated based on the determined set of pixels. The generated set of background pixels is transmitted to the second camera. The image of the scene captured by the second camera is segmented using the transmitted background pixels.

Abstract: A system for forming an image (110) of a substantially translucent specimen (102) has an illuminator (108) configured to variably illuminate the specimen from a plurality of angles of illumination such that (a) when each angle (495) at a given point on the specimen is mapped to a point (445) on a plane (420) perpendicular to an optical axis (490), the points on the plane have an increasing density (e.g. FIGS. 4, 11C, 11E, 12C, 12E, 13A, 14A, 14C, 14E, 15A, 15C, 15E) towards an axial position on the plane; or (b) the illumination angles are arranged with a substantially regular pattern in a polar coordinate system (FIG. 13A,13B) defined by a radial coordinate that depends on the magnitude of the distance from an optical axis and an angular coordinate corresponding to the orientation of the angle relative to the optical axis.

Abstract: A system and method of generating a virtual view of a scene captured by a network of cameras. The method comprises simultaneously capturing images of the scene using a plurality of cameras of the network; determining, using the captured images, a model of atmospheric conditions in the scene; and defining a virtual camera relative to the scene. The method further comprises rendering the scene from a viewpoint of the virtual camera by adjusting pixels of the captured images corresponding to the viewpoint, the adjusting based on a three-dimensional model of the scene, locations of the plurality of cameras relative to the scene, the viewpoint of the virtual camera, and the geometric model of atmospheric conditions.

Abstract: A method of stabilising frames of a captured video sequence. First reference patch alignment data is received for each of a plurality of reference patch locations. A first stable frame and a subsequent stable frame are determined from a first plurality of frames based on the first plurality of reference patch locations and reference patch alignment data. A second plurality of reference patch locations is determined using image data from the first stable frame, the second plurality of reference patch locations being determined concurrently with determining the subsequent stable frame from the first plurality of frames. Image data for the determined second plurality of reference patch locations is extracted from the subsequent stable frame. A second plurality of stable frames of the captured video sequence is determined with respect to the reference frame using the second plurality of reference patch locations and the extracted image data.

Abstract: A method of segmenting an image of a scene captured using one of a plurality of cameras in a network. A mask of an image of a scene captured by a first one of said cameras is received. A set of pixels in the mask likely to be in a foreground of an image captured by a second one of said cameras is determined based on the received mask, calibration information, and a geometry of the scene. A set of background pixels for the second camera is generated based on the determined set of pixels. The generated set of background pixels is transmitted to the second camera. The image of the scene captured by the second camera is segmented using the transmitted background pixels.

Abstract: A system and method of generating a virtual view of a scene captured by a network of cameras. The method comprises simultaneously capturing images of the scene using a plurality of cameras of the network; determining, using the captured images, a model of atmospheric conditions in the scene; and defining a virtual camera relative to the scene. The method further comprises rendering the scene from a viewpoint of the virtual camera by adjusting pixels of the captured images corresponding to the viewpoint, the adjusting based on a three-dimensional model of the scene, locations of the plurality of cameras relative to the scene, the viewpoint of the virtual camera, and the geometric model of atmospheric conditions.

Abstract: A method of stabilising a captured video. The method includes receiving a set of reference patch locations in a reference frame and reference patch alignment data for each location and receiving a frame of captured video. A first offset and a first subset of patch locations are selected from the set of reference patch locations. A second offset more than a pre-determined distance from the first offset and a second subset of patch locations from the reference patch locations are selected. The method further includes analysing image data for the frame of captured video at each patch location of the first and second subsets according to the corresponding reference patch alignment data to generate corresponding shift estimates; analysing the shift estimates to generate corresponding alignment transforms and confidence metrics; and selecting one of the alignment transforms according to the confidence metrics for stabilising the video.

Abstract: A method of stabilising frames of a captured video sequence. First reference patch alignment data is received for each of a plurality of reference patch locations. A first stable frame and a subsequent stable frame are determined from a first plurality of frames based on the first plurality of reference patch locations and reference patch alignment data. A second plurality of reference patch locations is determined using image data from the first stable frame, the second plurality of reference patch locations being determined concurrently with determining the subsequent stable frame from the first plurality of frames. Image data for the determined second plurality of reference patch locations is extracted from the subsequent stable frame. A second plurality of stable frames of the captured video sequence is determined with respect to the reference frame using the second plurality of reference patch locations and the extracted image data.