Abstract: A method and apparatus for assembling components of a workpiece. Some embodiments include a work surface; a first digital projector that projects an image of at least some features of the workpiece onto the work surface, wherein the image includes a plurality of line indicators that have visually discernible different markings such as colors or line types; a camera that obtains input images of the work surface and the components of the workpiece; and a first controller configured to receive the input images from the camera and to control the first digital projector to project the first output digital image on the work surface for assembly of the components to form the workpiece, wherein the first controller is further configured to store distortion-correction parameters and to use the stored distortion-correction parameters to adjust the first projected output digital image. In some embodiments, the workpiece is a lumber truss.

Abstract: A search assist system performs search for a subject of search from the images picked up by the on-board cameras. The search assist system includes: a first storage configured to store characteristic information on subjects of identification detected from the images picked up by fixed cameras and information on the fixed cameras; a second storage configured to store location information on vehicles; and one or more first controllers configured to receive characteristic information on the subject of search; determine a search target area based on an installation location of a fixed camera picking up the characteristic information matching the characteristic information on the subject of search; and send, to vehicles within the search target area, search instructions to search for the subject of search by the on-board cameras; and a second controller configured to output an image including the detected characteristic information on the subject of search.

Abstract: Disclosed is a method for determining the optimal exposure time and the number of exposures in a structured light-based 3D camera system. The method includes capturing a reference image onto which first and second patterns are projected, calculating a slope related to brightness and an exposure time for a pixel of the reference image and categorizing a state of the slope, creating an upper loss pixel distribution chart and an accumulation pixel distribution chart by calculating the number of upper loss pixels and the number of accumulation pixels for the exposure time of the structured light-based 3D camera system, and determining the optimal exposure time and the number of exposures of the structured light-based 3D camera system using the upper loss pixel distribution chart and the accumulation pixel distribution chart.

Abstract: An imaging device includes pixels arranged to form columns and each including a photoelectric conversion unit that generates charges by photoelectric conversion, column circuits provided to the columns, respectively, and each receiving a signal from a part of the pixels, a first common control line connected to each of the column circuits, and a control unit that controls the column circuits. Each of the column circuits includes an amplifier circuit whose gain is switchable and a first transistor that controls a current flowing in the amplifier circuit, and the control unit controls the column circuit so that the first transistor supplies a current of a first current value when the amplifier circuit is at a first gain and the first transistor supplies a current of a second current value different from the first current value when the amplifier circuit is at a second gain different from the first gain.

Abstract: The present invention provides an image encoding method and an image decoding method. The image encoding method of the present invention comprises: a first dividing step of dividing a current image into a plurality of blocks; and a second dividing step of dividing, into a plurality of sub blocks, a block, which is to be divided and includes a boundary of the current image, among the plurality of blocks, wherein the second dividing step is recursively performed by setting a sub block including the boundary of the current images as the block to be divided, until the sub block including the boundary of the current image does not exist among the sub blocks.

Abstract: Disclosed are an image encoding/decoding method and apparatus. The method and apparatus select at least one reference pixel line from among multiple reference pixel lines and derive a predicted value of a pixel within a current block by using the value of at least one pixel within the selected reference pixel line(s). Alternatively, the method and apparatus derive an intra prediction mode of a reconstructed pixel region on the basis of a reference pixel region of at least one reconstructed pixel region, derive an intra prediction mode of a current block on the basis of the derived intra prediction mode of the reconstructed pixel region, obtain an intra prediction block of the current block by using the derived intra prediction mode, and reconstruct the current block by summing the obtained intra prediction block and a residual block of the current block.

Abstract: An integrated circuit for an imaging system is disclosed. In one aspect, an integrated circuit has an array of optical sensors, an array of optical filters integrated with the sensors and configured to pass a band of wavelengths onto one or more of the sensors, and read out circuitry to read out pixel values from the sensors to represent an image. Different ones of the optical filters are configured to have a different thickness, to pass different bands of wavelengths by means of interference, and to allow detection of a spectrum of wavelengths. The read out circuitry can enable multiple pixels under one optical filter to be read out in parallel. The thicknesses may vary non-monotonically across the array. The read out, or later image processing, may involve selection or interpolation between wavelengths, to carry out spectral sampling or shifting, to compensate for thickness errors.

Abstract: Provided are an apparatus and a method for measuring a three dimensional shape with improved accuracy. The apparatus includes a stage, at least one lighting unit, a plurality of image pickup units and a control unit. The stage supports an object to be measured. The lighting unit includes a light source and a grid, and radiates grid-patterned light to the object to be measured. The image pickup units capture, in different directions, grid images reflected from the object to be measured. The control unit calculates a three dimensional shape of the object from the grid images captured by the image pickup units. The present invention has advantages in capturing grid images through a main image pickup portion and sub-image pickup portions, enabling the measurement of the three dimensional shape of the object in a rapid and accurate manner.

Abstract: A method and/or system for assessing the security situation in a building through an evaluation of sensor values provided by activity sensors situated in the building, in particular, in the accommodation region, an estimate of the number of persons actually present in the building, determining the number of persons to be expected in the building by an evaluation of administrative data (HR, Outlook, events, occupancies, etc.). Based upon a comparison of the number of persons to be expected with the number of actual persons, an indicator is determined for assessing the actual security situation in the building or in the accommodation region.

Abstract: The present disclosure relates to a fire detection system based on AI and a fire detection method based on Ai, which detects fire by using deep learning. The fire detection system includes a camera part generating video images, an object extraction part extracting a motion object from the video images, a video image conversion part generating a first background removal image, an image division part dividing the first background removal image with a plurality of division lines, and an analyzing part generating an abnormal signal and a normal signal.

Abstract: The present invention provides an image encoding method and an image decoding method. The image decoding method, according to the present invention, comprises the steps of: determining a transformation performing region; segmenting the determined transformation performing region into at least one sub-transform block by using at least one of quadtree segmentation and binary tree segmentation; and performing inverse transformation on the at least one sub-transform block.

Abstract: A standard dynamic range (SDR) image and a reference backward reshaping mapping are received. The reference backward reshaping mapping comprises a reference luma backward reshaping mapping. A color preservation mapping function is used with inputs generated from the SDR image and the reference backward reshaping mapping to determine luminance increase for SDR luma histogram bins generated based on luma codewords in the SDR image. A modified backward reshaping mapping is generated and comprises a modified luma backward reshaping mapping generated from the reference backward reshaping function based on the luminance increase for the SDR luma histogram bins. The SDR image and the modified backward reshaping mapping are encoded into an SDR video signal.

Abstract: An autonomous vehicle is configured to detect an active turn signal indicator on another vehicle. An image-capture device of the autonomous vehicle captures an image of a field of view of the autonomous vehicle. The autonomous vehicle captures the image with a short exposure to emphasize objects having brightness above a threshold. Additionally, a bounding area for a second vehicle located within the image is determined. The autonomous vehicle identifies a group of pixels within the bounding area based on a first color of the group of pixels. The autonomous vehicle also calculates an oscillation of an intensity of the group of pixels. Based on the oscillation of the intensity, the autonomous vehicle determines a likelihood that the second vehicle has a first active turn signal. Additionally, the autonomous vehicle is controlled based at least on the likelihood that the second vehicle has a first active turn signal.

Abstract: The present teaching relates to method, system, medium, and implementation of determining depth information in autonomous driving. Stereo images are first obtained from multiple stereo pairs selected from at least two stereo pairs. The at least two stereo pairs have stereo cameras installed with the same baseline and in the same vertical plane. Left images from the multiple stereo pairs are fused to generate a fused left image and right images from the multiple stereo pairs are fused to generate a fused right image. Disparity is then estimated based on the fused left and right images and depth information can be computed based on the stereo images and the disparity.

Abstract: A video encoding method of performing scalable encoding on input video includes: determining a total number of layers of the scalable encoding to be less than or equal to a maximum layer count determined according to a frame rate; and performing the scalable encoding on the input video to generate a bitstream, using the determined total number of layers.

Abstract: The encoding method includes: inverse-quantizing one or more first transform coefficients quantized; deriving a quantization parameter based on the one or more first transform coefficients inverse-quantized; and inverse-quantizing a second transform coefficient quantized, based on the derived quantization parameter.

Abstract: A method and a device for encoding/decoding an image are disclosed. The method for decoding an image comprises the steps of: decoding information on a quantization matrix; and restoring the quantization matrix on the basis of the information on the quantization matrix, wherein the information on the quantization matrix includes information indicating a DC value of the quantization matrix and/or information indicating differential values of quantization matrix coefficients.

Abstract: Innovations in control and use of chroma quantization parameter (“QP”) values that depend on luma QP values. More generally, the innovations relate to control and use of QP values for a secondary color component that depend on QP values for a primary color component. For example, during encoding, an encoder determines a QP index from a primary component QP and secondary component QP offset. The encoder maps the QP index to a secondary component QP, which has an extended range. The encoder outputs at least part of a bitstream including the encoded content. A corresponding decoder receives at least part of a bitstream including encoded content. During decoding, the decoder determines a QP index from a primary component QP and secondary component QP offset, then maps the QP index to a secondary component QP, which has an extended range.

Abstract: A light field display apparatus includes a display, a lens array, a plurality of optical devices, and a computing device. The display emits a light field image beam to a projection target. The lens array is disposed on a transmission path of the light field image beam and located between the display and the projection target. The optical devices are disposed on the transmission path of the light field image beam. The computing device is electrically connected to the display to receive an image signal having depth information and convert the image signal having the depth information into a light field image signal. The light field image signal is transmitted to the display. The computing device converts the image signal having the depth information into the light field image signal by an equivalent optical model. A light field display method is also provided.

Abstract: A video encoding method of performing scalable encoding on input video includes: determining a total number of layers of the scalable encoding to be less than or equal to a maximum layer count determined according to a frame rate; and performing the scalable encoding on the input video to generate a bitstream, using the determined total number of layers.