Abstract: Disclosed are an embedded system, a fast 3D camera system based on structured light, and a method for acquiring 3D images using the system. The embedded system includes a pattern generation module for generating the pattern in real time and a camera trigger module for converting a camera synchronization signal into a trigger signal and transmitting the signal to a camera. A transform module for transforming the pattern into a video signal and a communication module for receiving a command for projecting patterns and capturing images may be further included. The fast 3D camera system based on structured light includes an embedded system for generating a pattern in real time upon receiving a command for projecting patterns and capturing images, a projection device for projecting the pattern, and a camera for capturing the image of an object onto which the pattern is projected.

Abstract: Disclosed are an embedded system, a fast 3D camera system based on structured light, and a method for acquiring 3D images using the system. The embedded system includes a pattern generation module for generating the pattern in real time and a camera trigger module for converting a camera synchronization signal into a trigger signal and transmitting the signal to a camera. A transform module for transforming the pattern into a video signal and a communication module for receiving a command for projecting patterns and capturing images may be further included. The fast 3D camera system based on structured light includes an embedded system for generating a pattern in real time upon receiving a command for projecting patterns and capturing images, a projection device for projecting the pattern, and a camera for capturing the image of an object onto which the pattern is projected.

Abstract: A neural network device including a convolution static random access memory (SRAM) configured to output a first operation value and a second operation value 1. An accumulation peripheral operator configured to perform an accumulation peripheral operation on the first and the second operation values, a multiplexer array configured to select and output an output value according to a selection signal, a diagonal accumulation SRAM configured to perform a bitwise accumulation of variable weight values and a spatial-wise accumulation operation on an input, a diagonal movement logic, and an addition array operator configured to perform an addition operation of output values of the diagonal movement logic subsequent to a shift operation, the multiplexer array selects any one of an output value of the accumulation peripheral operator and an output value of the addition array operator according to the selection signal and outputs the selected output value to the diagonal accumulation SRAM.

Abstract: The present disclosure provides a point autoencoder including an encoder receiving a 3D point cloud and extracting a global feature and a decoder reconstructing the 3D point cloud from the global feature; a dual autoencoder including the point autoencoder; and a method for dimensional transformation of a point cloud using the dual autoencoder. According to the present disclosure, it is possible to extract features from an input point cloud using a Bias-Induced Decoding (BID) layer, perform reconstruction of a 3D point cloud from the corresponding feature information, and reconstruct a 3D point cloud by using only high-dimensional global features as an input. Also, the present disclosure reduces the amount of storage space used and reduces computational complexity than the conventional structure employing a fully connected layer.

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: 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: 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: 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: Disclosed are an embedded system, a fast 3D camera system based on structured light, and a method for acquiring 3D images using the system. The embedded system includes a pattern generation module for generating the pattern in real time and a camera trigger module for converting a camera synchronization signal into a trigger signal and transmitting the signal to a camera. A transform module for transforming the pattern into a video signal and a communication module for receiving a command for projecting patterns and capturing images may be further included. The fast 3D camera system based on structured light includes an embedded system for generating a pattern in real time upon receiving a command for projecting patterns and capturing images, a projection device for projecting the pattern, and a camera for capturing the image of an object onto which the pattern is projected.

Abstract: Disclosed are an embedded system, a fast 3D camera system based on structured light, and a method for acquiring 3D images using the system. The embedded system includes a pattern generation module for generating the pattern in real time and a camera trigger module for converting a camera synchronization signal into a trigger signal and transmitting the signal to a camera. A transform module for transforming the pattern into a video signal and a communication module for receiving a command for projecting patterns and capturing images may be further included. The fast 3D camera system based on structured light includes an embedded system for generating a pattern in real time upon receiving a command for projecting patterns and capturing images, a projection device for projecting the pattern, and a camera for capturing the image of an object onto which the pattern is projected.

Abstract: Provided is a method for fusing a plurality of data, this method comprising inputting a plurality of N-dimensional uncertain data where N is a natural number not being a zero, representing the inputted plurality of uncertain data in a first form of a data set in a 2N-dimensional extended space, generating a second form of a data set by applying whitening transform WT to the 2N-dimensional extended space, acquiring a first point or first vector through a linear projection to a transformed constraint manifold from the second form of the data set and generating a N-dimensional fused data by applying inverse-whitening transform to the first point or first vector.

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: Disclosed are an embedded system, a fast 3D camera system based on structured light, and a method for acquiring 3D images using the system. The embedded system includes a pattern generation module for generating the pattern in real time and a camera trigger module for converting a camera synchronization signal into a trigger signal and transmitting the signal to a camera. A transform module for transforming the pattern into a video signal and a communication module for receiving a command for projecting patterns and capturing images may be further included. The fast 3D camera system based on structured light includes an embedded system for generating a pattern in real time upon receiving a command for projecting patterns and capturing images, a projection device for projecting the pattern, and a camera for capturing the image of an object onto which the pattern is projected.

Abstract: Provided is a method for fusing a plurality of data, this method comprising inputting a plurality of N-dimensional uncertain data where N is a natural number not being a zero, representing the inputted plurality of uncertain data in a first form of a data set in a 2N-dimensional extended space, generating a second form of a data set by applying whitening transform WT to the 2N-dimensional extended space, acquiring a first point or first vector through a linear projection to a transformed constraint manifold from the second form of the data set and generating a N-dimensional fused data by applying inverse-whitening transform to the first point or first vector.

Abstract: Disclosed is a method of searing an address in the octree structure having the same resolution. The method of searching address values of the neighboring cells in the octree structure having the same resolution can include performing address encoding of octree cells by giving an inherent address value that is increased according to a depth level of octree to each cell in the octree structure such that address difference values of neighboring cells in the octree structure has a sequential rule; and searching an address value of a neighboring cell that is in contact by a surface with the selected octree cell by using the sequential rule of the address-encoded address difference value of each octree cell. In accordance with an embodiment of the present invention, it is possible to efficiently search address values of neighboring cells that are in contact with an octree cell.

Abstract: Provided is a structural light based three-dimensional depth imaging method and system using signal separation coding and error correction thereof capable of detecting, removing and correcting corresponding errors between a projection apparatus and an image photographing apparatus caused by phenomena such as reflection on an object surface, blurring by a focus, and so on, using geometrical constraints between the projection apparatus and the image photographing apparatus. Here, the projection apparatus projects light, and the image photographing apparatus obtains the light. The depth imaging method includes projecting light from a projection apparatus, obtaining the light using an image photographing apparatus, and measuring a distance or a three-dimensional depth image. Therefore, it is possible to provide a structural light based three-dimensional depth imaging method and system using geometrical conditions capable of precisely obtaining three-dimensional depth information of target environment.

Abstract: Disclosed herein is a 3D distance measurement system. The 3D distance measurement system includes an image projection device for projecting a pattern image including one or more patterns on a target object, and an image acquisition device for acquiring a projected pattern image, analyzing the projected pattern image using the patterns, and then reconstructing a 3D image. Each of the patterns includes one or more preset identification factors so that the patterns can be uniquely recognized, and each of the identification factors is one of a point, a line, and a surface, or a combination of two or more of a point, a line, and a surface. The 3D distance measurement system is advantageous in that it reconstructs a 3D image using a single pattern image, thus greatly improving processing speed and the utilization of a storage space and enabling a 3D image to be accurately reconstructed.

Abstract: A central information processing system for a service robot.

Abstract: A 3D depth imaging method and system are disclosed. The 3D depth imaging method involves radiating light at a measurement target object using a projection means and imaging the light using an image receiving means, and includes the steps of assigning a unique transmitting side address to a signal corresponding to each pixel of the projection means to encode the signal; projecting multiple light patterns at the projection means to transmit the signal; receiving the encoded signal at the image receiving means; separating the received signal to restore the address; and determining a pixel position of the object using the transmitting side address and the restored address. With the 3D depth imaging method and system, it is possible to exactly separate signals received by the image receiving means even when the signals are overlap and the geometrical structure of the object varies, and it is also possible to obtain a depth image that is robust against ambient environmental noise.

Abstract: Disclosed is a multi-nozzle inkjet print head using an electrostatic field induced type. The inkjet print head in accordance with an embodiment of the present invention includes: a first electrode being formed in each nozzle; and a second electrode located on a side spaced from the nozzle and arranged to block between any two adjacent nozzles and inducing an electrostatic field for discharging ink from the nozzle by forming an electric potential difference between the first electrode and the second electrode.