Abstract: The invention relates to a two-dimensional (2D) virtual clothing fitting system using machine learning technology and a deterministic classification algorithm. The system allows the construction of a two-dimensional (2D) digital interactive image between a cloth and the user's body instead of using a graphic engineer to simulate it. Machine learning models of image processing combined with a deterministic classification algorithm reproduce the user's image combined with the garment image and transform the cloth image according to the user's size.

Abstract: The Invention presents a system and a method for digitizing a human body shape from anthropometrical measurements. The proposed system and method allow reconstructing the 3D human body quickly and accurately, improving disadvantages of costly and timely traditional methods, which not only requires digitized persons to be naked or wear tight clothes but also could use hazardous lights to their health. The system in the invention includes two main modules and two supplementary blocks to reconstruct the 3D human body from anthropometric measurements, which are: (1) Input Block, (2) Pre-Processing Module, (3) Optimization Module, (4) Output Block. The method in the invention includes four steps: (1) Step 1a: collecting human body measurements, (2) Steps 1b: Initial Population; (3) Step 2: Optimizing; (4) Step 3: Displaying digitized human body shape.

Abstract: The invention presents a system and a method for 3D human reconstruction using a compact kit of depth cameras. Instead of using complex and expensive devices as in traditional methods, the proposed system and method employs a simple, easy-to-install system to accurately collect the human body shape. The generated model is capable of moving thanks to a skeleton system simulating the human skeleton. The proposed system includes four blocks: Data Collection Block, Point Cloud Standardization Block, Human Digitization Block and Output Block. The proposed method includes five steps: Point Cloud Collecting, Point Cloud Filtering, Point Cloud Calibrating, Point Cloud Optimizing and 3D Human Model Generating.

Abstract: The invention presents a system and a method for 3D human reconstruction using a compact kit of depth cameras. Instead of using complex and expensive devices as in traditional methods, the proposed system and method employs a simple, easy-to-install system to accurately collect the human body shape. The generated model is capable of moving thanks to a skeleton system simulating the human skeleton. The proposed system includes four blocks: Data Collection Block, Point Cloud Standardization Block, Human Digitization Block and Output Block. The proposed method includes five steps: Point Cloud Collecting, Point Cloud Filtering, Point Cloud Calibrating, Point Cloud Optimizing and 3D Human Model Generating.

Abstract: The Invention presents a system and a method for digitizing a human body shape from anthropometrical measurements. The proposed system and method allow reconstructing the 3D human body quickly and accurately, improving disadvantages of costly and timely traditional methods, which not only requires digitized persons to be naked or wear tight clothes but also could use hazardous lights to their health. The system in the invention includes two main modules and two supplementary blocks to reconstruct the 3D human body from anthropometric measurements, which are: (1) Input Block, (2) Pre-Processing Module, (3) Optimization Module, (4) Output Block. The method in the invention includes four steps: (1) Step 1a: collecting human body measurements, (2) Steps 1b: Initial Population; (3) Step 2: Optimizing; (4) Step 3: Displaying digitized human body shape.

Abstract: The invention presents a system and a method for digitizing body shape from dressed human image using machine learning and optimization techniques. The invention is able to rapidly and accurately reconstruct human body shape without using costly, bulky and hazardous 3D scanners. Firstly, the system reconstructing human body shape from the dressed human image includes 2 main modules and 2 supplementary blocks, which are: (1) Input Block, (2) Pre-Processing Module, (3) Optimization Module, (4) Output Block. In which, the Pre-Processing Module comprises 4 blocks: (1) Image Standardization, (2) Clothes Classification and Segmentation, (3) Human Pose Estimation, (4) Cloth-Skin Displacement Model. The Optimization Modules comprises 2 blocks: (1) Human Parametric Model, (2) Human Parametric Optimization.

Abstract: The invention presents a system optimizing control coefficients of flight object under complex environmental effects using hybrid Fuzzy Logic and PID variant controller. The proposed system includes: target module, seeker module, guidance module, control module, dynamics module. The fuzzy logic controller is applied to determine the parameters coefficients of a proportional integral derivative (PID) based on the effect of these coefficients on the system response. The control module is less affected by the accuracy of the mathematical model and can perform well in environments with impact noise.

Abstract: Disclosed is a method for hole-filling in 3D models. The method includes extracting static background information from a current frame of an input image and extracting virtual static background information using the static background information, warping a color image and a depth map of the current frame to acquire a virtual image and a virtual depth map, and labeling a hole area formed in the virtual depth map to extract local background information, performing a first hole-filling onto the virtual image and the virtual depth map using a similarity between the virtual static background information and the local background information, and performing a second hole-filling with respect to remaining holes after the first hole-filling in a manner of an exemplar-based in-painting method to which a priority function including a depth term is applied.

Abstract: The present disclosure relates to a tactile sensor including a first substrate on which a first electrode is formed; a second substrate on which a second electrode and a coupling hole is formed so that the first electrode may be inserted into the coupling hole; and a dielectric covering the first electrode and the second electrode, and thus not only having flexibility and elasticity, but also requiring a reduced number of wires to be used when sending and receiving signals, making it is easier to manufacture and saving costs.

Abstract: Disclosed is a method for hole-filling in 3D models. The method includes extracting static background information from a current frame of an input image and extracting virtual static background information using the static background information, warping a color image and a depth map of the current frame to acquire a virtual image and a virtual depth map, and labeling a hole area formed in the virtual depth map to extract local background information, performing a first hole-filling onto the virtual image and the virtual depth map using a similarity between the virtual static background information and the local background information, and performing a second hole-filling with respect to remaining holes after the first hole-filling in a manner of an exemplar-based in-painting method to which a priority function including a depth term is applied.

Abstract: The present disclosure relates to a tactile sensor including a first substrate on which a first electrode is formed; a second substrate on which a second electrode and a coupling hole is formed so that the first electrode may be inserted into the coupling hole; and a dielectric covering the first electrode and the second electrode, and thus not only having flexibility and elasticity, but also requiring a reduced number of wires to be used when sending and receiving signals, making it is easier to manufacture and saving costs.