A system and method for characterization and/or calibration of performance of a multispectral imaging (MSI) system equipping the MSI system for use with a multitude of different fluorescent specimens while being independent on optical characteristics of a specified specimen and providing an integrated system level test for the MSI system. A system and method are adapted to additionally evaluate and express operational parameters performance of the MSI system in terms of standardized units and/or to determine the acceptable detection range of the MSI system.

A system and method for characterization and/or calibration of performance of a multispectral imaging (MSI) system equipping the MSI system for use with a multitude of different fluorescent specimens while being independent on optical characteristics of a specified specimen and providing an integrated system level test for the MSI system. A system and method are adapted to additionally evaluate and express operational parameters performance of the MSI system in terms of standardized units and/or to determine the acceptable detection range of the MSI system.

A vision-assist device may include at least one image sensor for generating image data corresponding to an environment, a user input device for receiving user input regarding one or more physical characteristics of a user, and a processor. The processor may be programmed to receive the image data from the at least one image sensor, receive the user input from the user input device, and adjust an alignment of the at least one image sensor based on the received image data and the user input. Methods for aligning an image sensor are also provided.

A vision-assist device may include at least one image sensor for generating image data corresponding to an environment, a user input device for receiving user input regarding one or more physical characteristics of a user, and a processor. The processor may be programmed to receive the image data from the at least one image sensor, receive the user input from the user input device, and adjust an alignment of the at least one image sensor based on the received image data and the user input. Methods for aligning an image sensor are also provided.

A method and an apparatus optimizes scan data obtained by sensors on vehicle, and corrects trajectory for a vehicle/robot based on the optimized scan data. The method for optimizing the scan data obtained by scanning environment elements, includes: step of obtaining the scan data, including obtaining at least two frames of scan data respectively corresponding to different timings; step of cluster processing, based on the characteristic of the data points, including classifying the plurality of data points in each frame of the scan data into one or more clusters; step of establishing correspondence, among the at least two frames of scan data, including searching and obtaining at least one set of clusters having correspondence; step of optimizing clusters, among the at least two frames of scan data, including conducting calculation to each set of the at least one set of clusters having correspondence, to obtain optimized clusters respectively corresponding to each set of the at least one set of clusters having correspondence; and step of optimizing the scan data, including accumulating all optimized clusters to obtain an optimized scan date for the at least two frames of scan data.

A method and an apparatus optimizes scan data obtained by sensors on vehicle, and corrects trajectory for a vehicle/robot based on the optimized scan data. The method for optimizing the scan data obtained by scanning environment elements, includes: step of obtaining the scan data, including obtaining at least two frames of scan data respectively corresponding to different timings; step of cluster processing, based on the characteristic of the data points, including classifying the plurality of data points in each frame of the scan data into one or more clusters; step of establishing correspondence, among the at least two frames of scan data, including searching and obtaining at least one set of clusters having correspondence; step of optimizing clusters, among the at least two frames of scan data, including conducting calculation to each set of the at least one set of clusters having correspondence, to obtain optimized clusters respectively corresponding to each set of the at least one set of clusters having correspondence; and step of optimizing the scan data, including accumulating all optimized clusters to obtain an optimized scan date for the at least two frames of scan data.

The invention relates to a method for operating a stereoscopic medical microscope, wherein deteriorated and/or invalid calibration data are recognized, wherein for this purpose mutually corresponding image representations of at least one feature arranged in capture regions of cameras of a stereo camera system of the medical microscope are captured by means of the cameras, the captured image representations are evaluated by means of feature-based image processing, wherein the at least one feature is recognized in this case in the captured image representations and a misalignment and/or a decalibration of the cameras of the stereo camera system are/is recognized on the basis of the at least one feature recognized; and wherein at least one measure is carried out depending on an evaluation result. Furthermore, the invention relates to a medical microscope.

Three-dimensional image calibration and presentation for stereoscopic imaging systems such as eyewear including a first camera and a second camera is described. The calibration and presentation includes obtaining a calibration offset using vanishing points obtained from images captured by a first camera and a second camera to accommodate rotation of the first and second cameras with respect to one another, adjusting a three-dimensional rendering offset by the obtained calibration offset, and presenting the stereoscopic images using the three dimension rendering offset.

Embodiments describe a method for positioning a hinged vehicle including a primary part and a secondary part coupled to the primary part at a project site. The method includes receiving, from an image capturing device, digital image data representing one or more features of the secondary part; performing image analysis on the digital image data to identify positions of the one or more features of the secondary part; identifying an angle of at least a portion of the secondary part; calculating a current position of the secondary part based on the angle; calculating a positional difference between a correct position at the project site for the secondary part and a current position of the secondary part at the project site; and initiating a change in a position of the primary part to compensate for the positional difference and to position the secondary part on the correct position.

Embodiments describe a method for positioning a hinged vehicle including a primary part and a secondary part coupled to the primary part at a project site. The method includes receiving, from an image capturing device, digital image data representing one or more features of the secondary part; performing image analysis on the digital image data to identify positions of the one or more features of the secondary part; identifying an angle of at least a portion of the secondary part; calculating a current position of the secondary part based on the angle; calculating a positional difference between a correct position at the project site for the secondary part and a current position of the secondary part at the project site; and initiating a change in a position of the primary part to compensate for the positional difference and to position the secondary part on the correct position.