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.

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.

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.

A fiberscope for stereoscopic imaging has at least one wavefront manipulator which, for creating a sample beam, is configured to pre-shape a wavefront of the light from a light source such that the pre-shaped light is focusable substantially on an object point in an object region and raster-deflectable to a multiplicity of object points. The fiberscope also includes an illumination fiber for supplying the pre-shaped sample beam to the object region, and a detector fiber for supplying scattered light reflected and/or scattered at the respective object point to a detector which captures the scattered light and is connected to a computer unit. The computer unit is configured to compose the stereoscopic image from the captured scattered light. A method is for acquiring stereoscopic image data from a fiberscope.

The image capture apparatus includes an outer stationary support structure and an inner rotatable frame which rotates around a vertical rotation axis relative to a target object. An image capture device, such as a camera, is provided on the rotatable frame to capture an image or other data relating to the target object. The camera is mounted on the rotatable frame such that, while it is rotated around the target object, data collected from the camera is transmitted to a computer for further processing. The data collected therefore allows a three dimensional digital map of the target object to be created. A method of capturing an image of a target object by rotating an inner frame around the target object on a vertical rotation axis, and then constructing a three dimensional map of the target object is also provided.

The image capture apparatus includes an outer stationary support structure and an inner rotatable frame which rotates around a vertical rotation axis relative to a target object. An image capture device, such as a camera, is provided on the rotatable frame to capture an image or other data relating to the target object. The camera is mounted on the rotatable frame such that, while it is rotated around the target object, data collected from the camera is transmitted to a computer for further processing. The data collected therefore allows a three dimensional digital map of the target object to be created. A method of capturing an image of a target object by rotating an inner frame around the target object on a vertical rotation axis, and then constructing a three dimensional map of the target object is also provided.

A polarized image acquisition section 20 acquires a plurality of polarized images having different polarization directions. The polarized images show, for example, an input indicator for a user interface as a recognition target object. A normal line calculation section 30 calculates normal lines for individual pixels of the recognition target object in accordance with the polarized images acquired by the polarized image acquisition section 20. The normal lines represent information based on the three-dimensional shape of the recognition target object. A recognition section 40 recognizes the object by using the normal lines calculated by the normal line calculation section 30, determines, for example, the type, position, and posture of the input indicator, and outputs the result of determination as input information on the user interface. The object can be recognized easily and with high accuracy.

A polarized image acquisition section 20 acquires a plurality of polarized images having different polarization directions. The polarized images show, for example, an input indicator for a user interface as a recognition target object. A normal line calculation section 30 calculates normal lines for individual pixels of the recognition target object in accordance with the polarized images acquired by the polarized image acquisition section 20. The normal lines represent information based on the three-dimensional shape of the recognition target object. A recognition section 40 recognizes the object by using the normal lines calculated by the normal line calculation section 30, determines, for example, the type, position, and posture of the input indicator, and outputs the result of determination as input information on the user interface. The object can be recognized easily and with high accuracy.

The method for taking a panoramic photograph includes: determining a shooting focal distance and a shooting visual angle; shooting at least two photographs, comprising all objects required to be shot in an area of the shooting visual angle, according to the shooting focal distance and the shooting visual angle which are determined; and processing the at least two photographs to obtain one panoramic photograph. The corresponding device for taking a panoramic photograph is also provided.

The method for taking a panoramic photograph includes: determining a shooting focal distance and a shooting visual angle; shooting at least two photographs, comprising all objects required to be shot in an area of the shooting visual angle, according to the shooting focal distance and the shooting visual angle which are determined; and processing the at least two photographs to obtain one panoramic photograph. The corresponding device for taking a panoramic photograph is also provided.