Patent classifications
G06T2207/30112
Methods and systems for generating three-dimensional images that enable improved visualization and interaction with objects in the three-dimensional images
In some embodiments, the present specification describes methods for displaying a three-dimensional image of an isolated threat object or region of interest with a single touch or click and providing spatial and contextual information relative to the object, while also executing a view dependent virtual cut-away or rendering occluding portions of the reconstructed image data as transparent. In some embodiments, the method includes allowing operators to associate audio comments with a scan image of an object. In some embodiments, the method also includes highlighting a plurality of voxels, which are indicative of at least one potential threat item, in a mask having a plurality of variable color intensities, where the intensities may be varied based on the potential threat items.
CORRECTION OF IMAGES AND DEPTH INFORMATION FOR DETECTION WITH MATRIX
In some examples, there is described a method for processing inspection data associated with cargo irradiated by a plurality of successive pulses of X-rays. The method may involve obtaining the inspection data, the inspection data being generated as a result of scanning the cargo using a matrix including a plurality of at least two rows of detectors, and a source of the plurality of successive pulses. In some examples radiation corresponding to the plurality of successive pulses irradiating the cargo is arranged in a first order on the plurality of rows of detectors of the matrix and one or more successive reconstruction zones for the inspection data and corresponding to different orders are determined. Intermediate images of the cargo and an average image are generated. On the generated average image, pixels may be selected and neighbourhoods of the pixels having fewer artefacts may be extracted.
System and method for adjusting the opening of containers to avoid damage to contents
First scanned images of the first container are received from a scanning device that show the contents of the interior of the first container before the first container is cut and opened. Second scanned images that are of the contents of the first container after the first container is cut and opened are also received. The images are analyzed and, based upon the analysis, selective modifications to the operating parameters of the container opening machine are determined and made.
Imaging Method for Non-Line-of-Sight Object and Electronic Device
Certain embodiments provide an imaging method for a non-line-of-sight object and an electronic device. In certain embodiments, the method includes: detecting a first input operation; and generating first image data in response to the first input operation. The first image data is imaging data of the non-line-of-sight object obtained by fusing second image data and third image data. The first image data includes position information between the non-line-of-sight object and a line-of-sight object. The second image data is imaging data of the line-of-sight object captured by the optical camera. The third image data is imaging data of the non-line-of-sight object captured by the electromagnetic sensor.
Image-based jam detection
Apparatus and associated methods relate to a method of non-contact motion detection. A one-dimensional optical sensor detects motion of a target or objects on a conveyor belt through a continuous measurement of targets or objects and a real-time comparison of the pixel images captured by the one-dimensional optical sensor. In an illustrative embodiment, a one-dimensional sensor may be configured to determine motion of objects based on changes to the captured intensities of pixel images over time. The sensor may continually capture photoelectric pixel images and compare a current pixel image with a previous pixel image to determine a frame differential image value. The frame differential image value is evaluated against a predetermined threshold over a predetermined time period. Based on the evaluation, a signal is output indicating whether the objects on the conveyor belt are moving or jammed.
INFORMATION PROCESSING APPARATUS, COMPUTER-READABLE STORAGE MEDIUM, AND INFORMATION PROCESSING METHOD
According to an embodiment, an information processing apparatus includes a second recognition unit, an information processing unit, and an information output unit. The second recognition unit recognizes, by second recognition processing, a destination of an article with the destination. not recognized by first recognition processing by a first recognition unit. The information processing unit generates recognition processing information proving that the second recognition processing has been executed by the second recognition unit. The information output unit outputs the recognition processing information.
Systems and Methods for Determining Space Availability in an Aircraft
An example method for determining space availability in an aircraft includes receiving outputs from a plurality of laser sensors positioned in a baggage container at a first wall and a second wall, and the first wall and the second wall face each other. The plurality of laser sensors emit signals within the baggage container and detect reflected responses to generate the outputs. The example method also includes receiving images from a camera positioned on a third wall of the baggage container, wherein the third wall differs from the first wall and the second wall, mapping contents of the baggage container based on the outputs from the plurality of laser sensors, based on said mapping, outputting data indicative of occupied space in the baggage container, and associating the images from the camera with the contents of the baggage container.
FILLING RATE MEASUREMENT METHOD, INFORMATION PROCESSING DEVICE, AND RECORDING MEDIUM
A filling rate measurement method includes: obtaining a space three-dimensional model generated by measuring a first storage having an opening and a first storage space in which a measurement target is to be stored, the measuring being performed using a range sensor facing the first storage; obtaining a storage three-dimensional model that is a three-dimensional model of the first storage in which the measurement target is not stored; extracting a target portion corresponding to the measurement target from the space three-dimensional model using the space three-dimensional model and the storage three-dimensional model; calculating a first three-dimensional coordinate system; estimating a target three-dimensional model using the target portion and the first three-dimensional coordinate system, the target three-dimensional model being a three-dimensional model of the measurement target in the first storage space; and calculating a first filling rate of the measurement target with respect to the first storage space.
METHOD AND SYSTEMS FOR REMOVING ANTI-SCATTER GRID ARTIFACTS IN X-RAY IMAGING
Various methods and systems are provided for x-ray imaging. In one embodiment, a method includes acquiring, with an x-ray detector, an x-ray image of a subject, determining a transformation that minimizes anti-scatter grid artifacts in the x-ray image, correcting the x-ray image according to the transformation to generate a corrected image, and outputting the corrected image. In this way, artifacts arising from a misalignment of an anti-scatter grid between the calibration and the acquisition may be reduced.
RESOLUTION IMPROVEMENT IN DUAL ENERGY
In some embodiments, a method for processing inspection data associated with cargo irradiated by a plurality N of pulses of inspection is provided. The method includes obtaining the inspection data, the inspection data being representative of intensity values of pixels of an inspection image of the including data associated with a higher energy mode, and data associated with a lower energy mode; generating a histogram having, as a first axis, bins corresponding to pixel intensity values HM associated with the higher energy mode and, as a second axis, bins corresponding to pixel intensity values LM associated with the lower energy mode; selecting a bin corresponding to a most frequent bin of the pixel intensity values HM; and generating a transformation table by mapping each bin of the pixel intensity values LM with the selected bin of the pixel intensity values HM.