A placement detection system includes: a placement table; an imaging device that images an object placed on the placement table to generate an input image; and a control device. The control device generates a first binarized image for the input image based on a first threshold value and determines whether the object is placed in a predetermined placement orientation. The control device changes a threshold value for a target pixel to a second threshold value higher than the first threshold value when the object is determined to be placed in the predetermined placement orientation, the target pixel being sandwiched between pixels having pixel levels lower than or equal to the first threshold value and has a higher pixel level than the first threshold value in a first region, generates a second binarized image for the target pixel based on the second threshold value, and detects a shape of the object.

A method for determining a location of a vehicle, the method may include receiving reference visual information that represents multiple reference images acquired at predefined locations; acquiring, by a visual sensor of the vehicle, an acquired image of an environment of the vehicle; generating, based on the acquired image, acquired visual information related to the acquired image, wherein the acquired visual information comprises acquired static visual information that is related to the environment of the vehicle; searching for a selected reference image out of the multiple reference images, the selected reference image comprises selected reference static visual information that best matches the acquired static visual information; and determining an actual location of the vehicle based on a predefined location of the selected reference image and to a relationship between the acquired static visual information and to the selected reference static visual information; and wherein the determining of the actual location of the vehicle is of a resolution that is smaller than a distance between the selected reference image and a reference image that is immediately followed by the selected reference image.

There is provided a computer implemented method for detection of likelihood of malignancy in an anatomical image of a patient for treatment planning, comprising: receiving an anatomical image, feeding the anatomical image into a global component of a model trained to output a global classification label, feeding the anatomical image into a local component of the model trained to output a localized boundary, feeding the anatomical image patch-wise into a patch component of the model trained to output a patch level classification label, extracting a respective set of regions of interest (ROIs) from each one of the components, each ROI indicative of a region of the anatomical image likely to include an indication of malignancy, aggregating the ROIs from each one of the components into an aggregated set of ROIs, and feeding the aggregated set of ROIs into an output component that outputs an indication of likelihood of malignancy.

In accordance with some embodiments, systems, methods and media for high dynamic range quanta burst imaging are provided. In some embodiments, the system comprises: an image sensor comprising single photon detectors in an array; a processor programmed to: generate a sequence of binary images representing a scene; divide the sequence of binary images into blocks; generate block-sum images from the blocks; determine alignments between the block-sum images and a reference block-sum image; warp the sequence of binary images based on the alignments; generate warped block-sum images using warped binary images; merge the warped block-sum images; display a final image of the scene based on the merged warped block-sum images.

An information processing apparatus (100) include a memory to store a plurality of background images; a sensor to acquire three-dimensional information including a plurality of images; and processing circuitry. The processing circuitry selects a recognition target from the three-dimensional information; cuts an image of a recognition target range corresponding to the selected recognition target from each of the plurality of images to generate a plurality of foreground images from the plurality of images; synthesizes each of the plurality of foreground images with each of the plurality of background images to generate a plurality of synthesized images. The processing circuitry generates recognition target range information indicating the recognition target range with three-dimensional positions of a plurality of points. The processing circuitry projects the recognition target range onto each of the plurality of images to specify the recognition target range in each of the plurality of images.

The disclosure provides a method and an apparatus for character recognition and processing. A character region is labelled for each character contained in each sample image of a sample image set. A character category and a character position code corresponding to each character region are labelled. A preset neural network model for character recognition is trained based on the sample image set having labelled character regions, character categories and character position codes corresponding to the character regions.

A question and answer (Q&A) system is enhanced to support natural language queries into any document format regardless of where the underlying documents are stored. The Q&A system may be implemented “as-a-service,” e.g., a network-accessible information retrieval platform. Preferably, the techniques herein enable a user to quickly and reliably locate a document, page, chart, or data point that he or she is looking for across many different datasets. This provides for a unified view of all of the user's (or, more generally, an enterprise's) information assets (such as Adobe® PDFs, Microsoft® Word documents, Microsoft Excel spreadsheets, Microsoft PowerPoint presentations, Google Docs, scanned materials, etc.), and to be able to deeply search all of these sources for the right document, page, sheet, chart, or even answer to a question.

Screen response validation of robot execution for robotic process automation (RPA) is disclosed. Whether text, screen changes, images, and/or other expected visual actions occur in an application executing on a computing system that an RPA robot is interacting with may be recognized. Where the robot has been typing may be determined and the physical position on the screen based on the current resolution of where one or more characters, images, windows, etc. appeared may be provided. The physical position of these elements, or the lack thereof, may allow determination of which field(s) the robot is typing in and what the associated application is for the purpose of validation that the application and computing system are responding as intended. When the expected screen changes do not occur, the robot can stop and throw an exception, go back and attempt the intended interaction again, restart the workflow, or take another suitable action.

Some embodiments provide systems to identify products comprising: product vector database; a plurality of portable computing devices comprising a camera and a control circuit configured to: access an image captured by the camera; perform an optical character recognition on the image; apply a vector modeling rule to key text, generate a first query product vector and wirelessly communicate the first query product vector to the product recommendation system; the product recommendation system is configured to apply a vector evaluation rule to the first query product vector to identify a first product; and wirelessly communicate to the portable computing device the first product identifier; wherein the control circuit receives the first product identifier, accesses a product information, causes product information to be displayed; and causes the first product to be virtually added to a virtual cart.

The present invention relates to a method for differentiating between background and foreground in images or films of scenery recorded by an electronic camera. The invention relates in addition to a method for replacing the background in recorded images or films of scenery whilst maintaining the foreground.