A simulated method and system for surgical instrument based on tomography are provided. The method includes obtaining a biological stereoscopic image and inputting a parameter set of an implant to be implanted, denoting a target position and an initial position in the biological stereoscopic image, estimating a dimensional coordinate of a contact area of the implant and a living organism when the implant has been implanted into the living organism based on the parameter set, the target position and the initial position in the biological stereoscopic image, and obtaining a physiological data set by re-sampling corresponding to the dimensional coordinate of the implant in the living organism for evaluating the effect after the implant has been implanted into the living organism. Surgeons may evaluate the effect after implantation of implant into the living organism by using the simulated method, enhancing the overall quality and result of the surgery.

A system and method for estimating dimensions of an approximately cuboidal object from a 3D image of the object acquired by an image sensor of the vision system processor is provided. An identification module, associated with the vision system processor, automatically identifies a 3D region in the 3D image that contains the cuboidal object. A selection module, associated with the vision system processor, automatically selects 3D image data from the 3D image that corresponds to approximate faces or boundaries of the cuboidal object. An analysis module statistically analyzes, and generates statistics for, the selected 3D image data that correspond to approximate cuboidal object faces or boundaries. A refinement module chooses statistics that correspond to improved cuboidal dimensions from among cuboidal object length, width and height. The improved cuboidal dimensions are provided as dimensions for the object. A user interface displays a plurality of interface screens for setup and runtime operation.

Various aspects of a systems and method for reconstructing a surface of a three-dimensional (3D) target are disclosed herein. The method may comprise projecting a sequence of patterns to the surface of the target; capturing a first stereo endoscopic image and a second stereo endoscopic image from the patterns reflected from the surface; performing a coarse matching for the captured first and second stereo endoscopic images to acquire a set of matching candidates; and performing a precise matching for the acquired set of matching candidates to acquire reconstruction pixels for reconstructing the surface.

A system for automotive trailer tracking side view mirrors where the side view mirrors are dynamically adjusted to follow and track a trailer, semi-trailer, or other towed load during turning, backing or other maneuvers. The driver is provided with an optimized view of the rear of the trailer without the need to manually adjust side view mirrors. As the vehicle and trailer turn and articulate, the side view mirror system automatically adjusts to turn, rotate, and follow the trailer. The system may provide imaging sensors, digital cameras, Lidar sensors, or other sensor modalities as input to an electronic control module. The control module is provided with image or sensor data regarding the location, angle or orientation of optical markers or targets installed on the trailer. Alternatively, the control module is provided with high resolution imaging or sensor data and applies machine vision and object recognition algorithm to identify the position of the trailer. The control modules provides a control signal output to the side view mirror motors and actuators, to dynamically adjust the side view mirrors, with a frequency response of less than 100 ms in order to provide the driver with a clear unobstructed view.

A stereoscopic endoscope apparatus includes: an image pickup device configured to pick up optical images for a right eye and a left eye; a similarity degree determination portion configured to receive input of an image signal for the right eye and an image signal for the left eye outputted from the image pickup device, and calculate a similarity degree between the image for the right eye and the image for the left eye; and an image signal output portion configured to switch and output a three-dimensional image signal formed of the image signal for the right eye and the image signal for the left eye and a two-dimensional image signal formed of either one of the image signal for the right eye and the image signal for the left eye, based on the similarity degree calculated by the similarity degree determination portion.

A wearable apparatus may include an image display; a content receiver; and a processor configured to process image data received through the content receiver to generate an image frame, and control the image display to display the image frame. The processor may be configured to compare a vertical pixel line of a left edge portion of the image frame with a vertical pixel line of a right edge portion of the image frame, and when it is determined that the image frame is a 360-degree Virtual Reality (VR) image, process the 360-degree VR image.

A method of assessing a presence and/or severity of at least one of diplopia and convergence insufficiency disorder of a patient; it includes providing a patient with an image pair configured to present a first image to a first eye of the patient and a second image to a second eye of the patient; obtaining performance information of the patient when the patient performs a task requiring the perceiving of the information content of the first image and the information content of the second image; adjusting, based on the performance information, the difference of the at least one image parameter between the first image and the second image; and assessing the degree of at least one of the diplopia and convergence insufficiency disorder of the patient based on performance information of the patient when the patient performs the task following the adjusting.

A detector (110) for determining at least one material property of at least one object (112) is proposed. The detector (110) comprises at least one projector (116) configured for illuminating the object (112) with at least one illumination pattern (118) comprising a plurality of illumination features (120); at least one first camera (122) having at least one first sensor element, wherein the first sensor element has a matrix of first optical sensors, the first optical sensors each having a light-sensitive area, wherein each first optical sensor is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by a reflection light beam propagating from the object (112) to the first camera (122), wherein the first camera (122) is configured for imaging at least one first reflection image comprising a plurality of first reflection features generated by the object (112) in response to illumination by the illumination features (120), wherein the first camera (122) is arranged such that the first reflection image is imaged under a first direction of view to the object (112); at least one second camera (124) having at least one second sensor element, wherein the second sensor element has a matrix of second optical sensors, the second optical sensors each having a light-sensitive area, wherein each second optical sensor is designed to generate at least one sensor signal in response to an illumination of its respective light-sensitive area by a reflection light beam propagating from the object (112) to the second camera (124), wherein the second camera (124) is configured for imaging at least one second reflection image comprising a plurality of second reflection features generated by the object (112) in response to illumination by the illumination feature (120), wherein the second camera (124) is arranged such that the second reflection image is imaged under a second direction of view to the object (112), wherein the first direction of view and the second direction of view differ; at least one evaluation device (126) configured for evaluating the first reflection image and the second reflection image, wherein the evaluation comprises matching the first reflection features and the second reflection features and determining a combined material property of matched pairs of first and second reflection features by analysis of their beam profiles.

A vehicle exterior environment detection apparatus includes a distance image generator, a vehicle detector, a search processor, a vehicle width calculator, and a predictor. The distance image generator generates a plurality of distance images including a first distance image, a second distance image, and a third distance image, on a basis of a plurality of stereo images including a first stereo image, a second stereo image, and a third stereo image each including a left image and a right image. The predictor predicts a position of a target vehicle in the left image and the right image included in the third stereo image, on a basis of a first vehicle image width calculated on a basis of the first distance image and a second vehicle image width calculated on a basis of a selected image of the second stereo image.

A truck-mountable detection system for detection of a first coupling device of a container, in which the first coupling device is configured for coupling with a second coupling device of a truck-mounted loading equipment, in particular a hook of a hookloader. The detection system includes a data processor and an data capturing device, the data of which can be sent to the data processor. The data capturing device is a stereographic sensor system, and the data processor is configured to automatically recognize the shape of the first coupling device of the container based on the data provided by the stereographic sensor system.