Patent classifications
G06V10/143
Surface sensing probe and methods of use
Disclosed is a surface sensing apparatus, one embodiment having a source of coherent radiation capable of outputting wavelength emissions to create a first illumination state to illuminate a surface and create a first speckle pattern, an emission deviation facility capable of influencing the emission to illuminate the surface and create a second illumination state and a second speckle pattern, and a sensor capable of sensing a representation of the first and a second speckle intensity from the first and second speckle pattern. Also disclosed are methods of sensing properties of the surface, one embodiment comprising the steps of illuminating the surface having a first surface state with the source of coherent radiation emission, sensing a first speckle intensity from the surface, influencing a relationship of the surface to the emission to create a second surface state and sensing a second speckle intensity from the surface at the second surface state.
Surface sensing probe and methods of use
Disclosed is a surface sensing apparatus, one embodiment having a source of coherent radiation capable of outputting wavelength emissions to create a first illumination state to illuminate a surface and create a first speckle pattern, an emission deviation facility capable of influencing the emission to illuminate the surface and create a second illumination state and a second speckle pattern, and a sensor capable of sensing a representation of the first and a second speckle intensity from the first and second speckle pattern. Also disclosed are methods of sensing properties of the surface, one embodiment comprising the steps of illuminating the surface having a first surface state with the source of coherent radiation emission, sensing a first speckle intensity from the surface, influencing a relationship of the surface to the emission to create a second surface state and sensing a second speckle intensity from the surface at the second surface state.
IMAGE GENERATING SYSTEM
Embodiments of the disclosure provided herein generally relate to methods and video system components that have integrated background differentiation capabilities that allow for background replacement and/or background modification. In some embodiments, undesired portions of video data generated in a video environment are separated from desired portions of the video data by taking advantage of the illumination and decay of the intensity of electromagnetic radiation, provided from an illuminator, over a distance. Due to the decay of intensity with distance, the electromagnetic radiation reflected from the undesired background has a lower intensity when received by the sensor than the electromagnetic radiation reflected from the desired foreground. The difference in the detected intensity at the one or more wavelengths can then be used to separate and/or modify the undesired background from the desired foreground for use in a video feed.
Method and apparatus for processing image
A method for processing an image, which is performed by an image processing apparatus, is provided. The method includes acquiring a first image including an object and a second image including an object identical to the object in the first image under the same condition, acquiring three-dimensional direction information of a specific part of the object in the first image, and providing a three-dimensionally processed image by three-dimensionally rotating the object in the second image by an angle that corresponds to the acquired three-dimensional direction information of the specific part of the object in the first image.
Sequence recognition from video images
Methods, systems, and apparatus for an image recognition system. The image recognition system includes a memory. The memory is configured to store multiple sequences of movements of multiple standard objects. The image recognition system includes a sensor. The sensor is configured to capture image data of a surrounding environment. The image recognition system includes a processor. The processor is coupled to the memory and the sensor. The processor is configured to recognize an object in the image data. The processor is configured to determine a movement of the object based on the image data. The processor is configured to compare the movement of the object in the image data to a sequence of movements of a standard object of the plurality of standard objects, and determine that the object is a living being based on the comparison.
ANALYSIS METHOD FOR BREAST IMAGE AND ELECTRONIC APPARATUS USING THE SAME
An analysis method and an electronic apparatus for breast image are provided. The method includes the following steps. One or more breast ultrasound images are obtained. The breast ultrasound images are used for forming a three-dimensional (3D) breast model. A volume of interest (VOI) in the breast ultrasound image is obtained by applying a detection model on the 3D breast model. The VOI is compared with a tissue segmentation result. The VOI is determined as a false positive according to a compared result between the VOI and the tissue segmentation result. The compared result includes that the VOI is located at a glandular tissue based on the tissue segmentation result. In response to the VOI being located in the glandular tissue of the tissue segmentation result, the VOI is compared with the lactiferous duct in the 3D breast model.
ANNOTATION OF INFRARED IMAGES FOR MACHINE LEARNING USING BEAMSPLITTER-BASED CAMERA SYSTEM AND METHODS
Systems and methods include an infrared camera configured to capture an infrared image of a scene, a visible light camera configured to capture a visible light image of the scene, and a logic device configured to simultaneously capture a pair of images of the scene comprising the infrared image of the scene and the visible image of the scene, align the pair of images so that a pixel location in one of the pair of images has a corresponding pixel location in the other image, classify the visible image, annotate the infrared image based, at least in part, on the classification of the visible image, and add the annotated infrared image to a neural network training dataset for use in training a neural network for infrared image classification.
IDENTIFICATION SYSTEMS AND METHODS FOR A USER INTERACTIVE DEVICE
An entertainment system includes a user interactive device having an identification assembly configured to generate a pattern of light via reflective material, a camera configured to capture the pattern of light generated by the reflective material, and a controller having processing circuitry and a memory. The memory stores machine-readable instructions configured to cause the processing circuitry to receive an indication of the pattern of light and determine identification data associated with the user interactive device based on the pattern of light.
Method and system for image blurring processing
A system and a method for image blurring processing are provided. The method includes: obtaining an image and a depth information corresponding to the image; identifying an object and a background in the image according to the depth information, wherein the object includes a plurality of object pixels and the background includes a plurality of background pixels; defining a number of an edge pixel spaced between the object and the background; performing a blurring processing on the edge pixel and the background pixels respectively by using a plurality of masks with different sizes; combining the plurality of object pixels, the edge pixel after the blurring processing, and the background pixels after the blurring processing to generate an output image; and outputting the output image.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
An information processing device (100) includes an image acquisition unit (110), a measurement unit (172), and a recognition processing unit (173). The image acquisition unit (110) acquires an image by receiving external light by a light receiving unit. The measurement unit (172) measures a distance to a subject by using a first image based on the image acquired by the image acquisition unit in response to emission of infrared light from a light emitting unit. The recognition processing unit (173) performs subject recognition processing by using a second image based on an image acquired by the image acquisition unit (110) that has received external light without infrared light emitted from the light emitting unit.