13 results about "Image processor" patented technology

The invention discloses a naked 3D track display method and equipment. The method comprises the steps as follows: an image collector collects images of a viewer; an image processor determines the position of the viewer; according to the position of the viewer, a traversing module finds a liquid crystal grating state value corresponding to the position of the viewer, which is determined by the image processor from a index list corresponding to the position of the viewer, and the liquid crystal grating state value comprises a plurality of adjacent grating units and the driving manner of each of the plurality of adjacent grating units; a grating driving module finds the liquid crystal grating state value according to the traversing module to drive the liquid crystal gratings; and image information is displayed by a displaying screen. The invention further disclosed naked 3D track display equipment. According to the invention, a 3D display region can be regulated according to the spatial location of the viewer, so that the viewer can always senses a 3D displaying effect during motion.

An image processing apparatus having a slideshow function includes: a storage unit that stores files corresponding to a plurality of images; a display unit that displays the plurality of images; a slideshow performing unit that reads the files from the storage unit and sequentially displays the plurality of images on the display unit in a slideshow function; a user input unit that receives input manipulation of a user and generating a signal; and an image processor that performs image processing on the files corresponding to images selected from the plurality of images displayed on the display unit based on the signal of the user input unit after the slideshow performing unit completes the slideshow function.

The description interpreting unit (101) identifies the format (the Exif, the JFIF and the like) of the image data which is included in the content which is received from the host equipment (10). The image data obtaining unit (103) obtains the image data which is linked to the content from the printing content buffer (102) or the external DB (119). The image judging unit (104) judges the type of the received image file, and notifies the result to the image rasterization unit (105). The image rasterization unit (105) extends the compressed image data. The image processing deciding unit (106) decides parameters for the image processing which is executed by the image processing unit (107). The rendering unit (108) converts the image data to be described by the CMYK color space in order to execute printing. And, the printing unit (109) executes printing.

An image processing system comprises an image processor configured to obtain a first image stream having a first frame rate and a second image stream having a second frame rate lower than the first frame rate, to recover additional frames for the second image stream based on existing frames of the first and second image streams, and to utilize the additional frames to provide an increased frame rate for the second image stream. Recovering additional frames for the second image stream based on existing frames of the first and second image streams illustratively comprises determining sets of one or more additional frames for insertion between respective pairs of consecutive existing frames in the second image stream in respective iterations.

The invention discloses a remote sensing image processing device based on deep learning, and relates to the technical field of image processors. The remote sensing image processing device based on deep learning comprises a processor box body, and an adjusting mechanism, a connecting mechanism and a cleaning mechanism are additionally arranged in the whole remote sensing image processing device based on deep learning for cooperative use, so that a heat dissipation window can be cleaned in time; the situation that the heat dissipation window is blocked due to too much dust after the device is used for a long time is prevented, the heat absorption device is additionally arranged above the device, the heat dissipation effect is better, equipment damage caused by overheating after long-term use is avoided, in addition, a mechanism capable of supporting arms is arranged below the equipment, the equipment can be comfortably operated without a table top, and the practicability is high. The wire body can be retracted without occupying space when not in use, the internal fixation is realized, and a connecting mechanism which is convenient to open and connect with other equipment is arranged outside the equipment, so that the fixing effect is better, and the wire body can be protected and prevented from being twisted.

The invention relates to a non-staff intrusion detection and alarm method and device applied to a railway platform. The method comprises the following steps: collecting a real-time video of a station end region of a station; detecting and tracking a target in the video by using an intrusion detection model, and judging whether to trigger an alarm based on a detection and tracking result; wherein the intrusion detection model uses a non-staff feature detection model based on YOLO v4 to detect a target in a video, and uses a DCF algorithm to track the detected target. According to the method and the device provided by the invention, by using the intrusion detection model, the staff and the non-staff can be distinguished, the real-time online analysis of dozens of paths of high-definition videos operated by one image processor can be realized, the false alarm caused by regular inspection of the staff is solved to a certain extent. Meanwhile, the pressure of passenger station safety management during passenger flow increase is effectively relieved, the system reliability is high, and the cost is low.

The present invention relates to a robot and method for estimating an orientation on the basis of a vanishing point in a low-luminance image, and the robot for estimating an orientation on the basis of a vanishing point in a low-luminance image according to an embodiment of the present invention includes a camera unit configured to capture an image of at least one of a forward area and an upward area of the robot and an image processor configured to extract line segments from a first image captured by the camera unit by applying histogram equalization and a rolling guidance filter to the first image, calculate a vanishing point on the basis of the line segments, and estimate a global angle of the robot corresponding to the vanishing point.

A display apparatus including an image processor which processes a video signal is provided. The display apparatus includes; a display which displays an image based on a processed video signal; a receiver which receives a key signal input by a user; a storage which stores a password key; and a controller which receives a user's first key signal which comprises an arrow key signal when a password is set up for the display apparatus, sets up and stores the password key which corresponds to the received first key signal, receives a user's second key signal when access is attempted, and allows the access in response to the received second key signal and the stored password key matching each other through a comparison.

Disclosed herein are an ultrasonic imaging apparatus and an image display method thereof. The ultrasonic imaging apparatus includes an ultrasonic probe configured to transmit ultrasonic signals toward an object and to receive ultrasonic signals reflected by the object, a beamformer configured to perform beamforming based on the ultrasonic signals received by the ultrasonic probe, and an image processor configured to generate an ultrasonic image of an examined region within the object based on the beamforming, to extract characteristic information which relates to the examined region from the generated ultrasonic image, and to judge whether or not the examined region coincides with a target region based on the extracted characteristic information, thus facilitating a determination as to with which region within the object the examined region corresponds based on various pieces of the characteristic information of the examined region extracted via analysis of the ultrasonic image.