96results about How to "Simplify image processing" patented technology

A home intelligent service robot for recognizing a user and following the motion of a user and a method thereof are provided. The home intelligent service robot includes a driver, a vision processor, and a robot controller. The driver moves an intelligent service robot according to an input moving instruction. The vision processor captures images through at least two or more cameras in response to a capturing instruction for following a target object, minimizes the information amount of the captured image, and discriminates objects in the image into the target object and obstacles. The robot controller provides the capturing instruction for following the target object in a direction of collecting instruction information to the vision processor when the instruction information is collected from outside, and controls the intelligent service robot to follow and move the target object while avoiding obstacles based on the discriminating information from the vision processor.

Embodiments of the invention are directed to improved systems and methods for three dimensional (3D) image reconstruction. The systems and methods are directed to extracting, digitally reconstructing and optionally tracking 3D objects from multiple two dimensional (2D) video camera sources. The systems and methods are directed to reconstructing a 3D scene via 2D cameras and then re-projecting this data back onto 2D surfaces. This system and method can greatly simplify the image processing required to analyze the 3D model by moving the analysis techniques back into the 2D domain.

An apparatus, system and method controls and interacts within an interaction volume within a height over the coordinate plane of a computer such as a computer screen, interactive whiteboard, horizontal interaction surface, video/web-conference system, document camera, rear-projection screen, digital signage surface, television screen or gaming device, to provide pointing, hovering, selecting, tapping, gesturing, scaling, drawing, writing and erasing, using one or more interacting objects, for example, fingers, hands, feet, and other objects, for example, pens, brushes, wipers and even more specialized tools. The apparatus and method be used together with, or even be integrated into, data projectors of all types and its fixtures/stands, and used together with flat screens to render display systems interactive. The apparatus has a single camera covering the interaction volume from either a very short distance or from a larger distance to determine the lateral positions and to capture the pose of the interacting object(s).

A method for interacting with a video by a motion detector is disclosed. First, a video-content-decomposition procedure is executed to decompose the video into a background scene and at least one foreground object. Then, at least one event database is classified according to the state of the foreground object. Finally, the suitable foreground objects are selected from the event database according to a detected motion by the motion detector. Wherein, the foreground objects selected are rendered on the background scene sequentially according to the detected motion.

A method for processing an image of a microfluidic device. The method includes receiving a first image of a microfluidic device. The first image corresponds to a first state. Additionally, the method includes receiving a second image of the microfluidic device. The second image corresponds to a second state. Moreover, the method includes transforming the first image and the second image into a third coordinate space. Also, the method includes obtaining a third image based on at least information associated with the transformed first image and the transformed second image, and processing the third image to obtain information associated with the first state and the second state.

Apparatus for monitoring movement of objects (26) through a monitoring region (12) comprises an overhead camera (20) sensitive to the presence or absence of an object (26) in each of a plurality of adjacent zones (24.1 to 24.n) in the region individually. The zones are arranged such that there are at least two adjacent rows of zones in a first direction (y) and at least two adjacent rows of zones in a direction (x) perpendicular to the first direction. Each zone is associated with a respective zone index. The camera is operative to capture time sequential images (a) to (f) of objects moving through the region comprising sensed data relating to the presence or absence of objects in each of the zones. A processor arrangement is connected to the camera for processing the sensed data into a multidimensional pattern of the presence or absence of the objects in the zones, wherein a first dimension is time and a second dimension is zone index. The processor arrangement is configured to segment the pattern into pattern parts relating to events. A classifier is provided for classifying the pattern parts with reference to historical data relating to anticipated events, thereby to provide a count of objects moving in at least one direction through the region.

An image processor (24) includes an image processing section (04) which performs a blurring process on a given image data. The image processing section (04) is provided with an image data reduction part (04A), a spatial filter processing part (04B), and an image data expansion part (04C). The image data reduction part (04A) reduces the given image data at a predetermined reduction rate to generate a reduced image data. The spatial filter processing part (04B) performs a spatial filter process on the reduced image data reduced by the image data reduction part (04A) to generate a processed image data. An image data expansion part (04C) expands the processed image data processed by the spatial filter processing part (04B) at an expansion rate inverse of the reduction rate.

An image processing apparatus for quantizing image data indicative of a density gradation level of a constituent pixel of an image into a discrete value on the basis of quantization levels of a number smaller than the maximum density gradation level and not smaller than two. The apparatus comprises: an N-level/M-level quantization circuit for quantizing image data of an object pixel on an N-level basis or on an M-level basis; an error diffusion circuit for distributing an error generated through the N-level quantization or the M-level quantization to peripheral pixels around the object pixel; an N-level quantization threshold setting circuit for setting an N-level quantization threshold in a periodically variable manner; and a process setting circuit for causing the N-level/M-level quantization circuit to perform the M-level quantization for pixels adjacent to a pixel corresponding to either or both of a peak point and a saddle point in the periodic variation of the N-level quantization threshold and causing the N-level/M-level quantization circuit to perform the N-level quantization for pixels corresponding to the peak point and the saddle point.

A distance measurement apparatus includes comprising: an image capturing section for capturing an image of an object to be imaged, for which information is known regarding an image capturing position, an angle of image capturing direction and an image capturing area; a reference image storage section for receiving the image from the image capturing section and storing an image information of the image as a reference image; and a distance data computation section for determining a distance data L, the distance data L indicating a distance between the object to be imaged and the image capturing position, the determination being based on a lowermost position information of the object to be imaged in an image frame, the lowermost position information being based on a difference value between the image information of the reference image stored in the reference image storage section and an image information of an image newly captured by the image capturing section.

A computer-generated hologram comprising a plurality of cells. The hologram has information recorded therein, the information operable to recreate a stereoscopic image of an object. At least one of said plurality of cells P_j has information related to a luminance TWLci (^θXY, ^θYZ) of a virtual point light source Q_i from a plurality of virtual point light sources. The luminance corresponds to a point S on the object. The point S is on a straight line between said one of the plurality of cells P_i and the virtual point light source Q_i.

A package structure of an image sensor module for electrically connecting to a printed circuit board includes a transparent layer, an image sensing chip, a lens holder and a lens barrel. A plurality of signal input terminals and signal output terminals are formed on the transparent layer. The electrical circuits are formed on the image sensing chip, each of the electrical circuits is formed with bonding pads and is electrically connected to the transparent layer by way of flip chip bonding. A lens holder is formed with a through hole, an internal thread is formed on an inner wall of the through hole. The lens holder is mounted to the upper surface of the transparent layer. A lens barrel is arranged within the through hole of the lens holder and is formed with an external thread, which is screwed to the internal thread of the lens holder, the lens barrel is formed with a chamber and an opening communicating with the chamber.

An image processing method is provided, which includes a step of separating an object image into an object region and a background region, a step of calculating a gray scale value of an average color of the object region, a step of calculating a gray scale value of an inversion color of the object region by using the gray scale value of the average color, and a step of calculating a gray scale value of a background region of a processed image by using the gray scale value of the inversion color and a gray scale value of the background region of the object image.

An image display device for displaying an image on the basis of an image signal supplied from an image supply device includes a brightness detecting section that detects a gray level which characterizes brightness of a predetermined pattern image from a pattern image signal when the predetermined pattern image is supplied from the image supply device; a storing section that stores a reference gray level predetermined in the pattern image; a correction parameter setting section that sets a correction parameter for compensating by a difference between the gray level detected by the brightness detecting section and the reference gray level stored in the storing section; and a correcting section that corrects the brightness of the image signal supplied from the image supply device on the basis of the correction parameter.

The invention discloses an industrial robot built-in wiring harness abrasion and accelerated abrasion test method and device. No method and no device specially aiming at the abrasion test of a built-in wiring harness of an industrial robot exist in the prior art. The device provided by the invention mainly consists of a plurality of wiring harnesses, a camera, a simulated mechanical arm, a wiringharness joint motor, a camera space position regulating device, a multi-wiring-harness bundling device, a swinging motor, an installing seat, a holding hoop, a swinging arm, a simulation board, a simulation board swinging rotation device, a simulation board moving platform, an industrial personnel computer, a motor movement controller, a swinging motor driver, a step motor driver and an image collection card. The plane abrasion test or joint constraint abrasion test can be selected; the swinging amplitude and the swinging period of the swinging motor are controlled according to the wiring harness abrasion mode or the wiring harness accelerated abrasion mode; next, an imaging recognition technology is used for recognizing the wiring harness abrasion region due to simulation; the wiring harness abrasion and accelerated abrasion detection intelligence is realized; and the image processing process is simple and efficient.