公开(公告)号：US20230033542A1

公开(公告)日：2023-02-02

申请号：US17747833

申请日：2022-05-18

Applicant: VIETTEL GROUP

Inventor： Van Duc Tran ,  Tien Dat Nguyen ,  Hai Anh Nguyen ,  Anh Tra Duong

IPC: G06T13/40 ,  G06T17/20 ,  H04N13/239 ,  G06T7/70 ,  G06T5/00 ,  G06T5/20 ,  H04N13/111 ,  G06T7/80 ,  G06T7/60

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.

公开(公告)号：US20210131767A1

公开(公告)日：2021-05-06

申请号：US17084316

申请日：2020-10-29

Applicant: VIETTEL GROUP

Inventor： Van Duc Tran ,  Tien Dat Nguyen ,  Thi Anh Nguyen

IPC: F41G7/00 ,  F41G7/22 ,  G06N7/02

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.

公开(公告)号：US11776191B2

公开(公告)日：2023-10-03

申请号：US17747833

申请日：2022-05-18

Applicant: VIETTEL GROUP

Inventor： Van Duc Tran ,  Tien Dat Nguyen ,  Hai Anh Nguyen ,  Anh Tra Duong

IPC: G06T13/40 ,  G06T7/70 ,  G06T7/80 ,  H04N13/239 ,  G06T5/00 ,  G06T5/20 ,  H04N13/111 ,  G06T7/60 ,  G06T17/20

CPC classification number: G06T13/40 ,  G06T5/002 ,  G06T5/20 ,  G06T7/60 ,  G06T7/70 ,  G06T7/80 ,  G06T17/20 ,  H04N13/111 ,  H04N13/239 ,  G06T2200/04 ,  G06T2207/10012 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/30196 ,  G06T2207/30244 ,  G06T2210/56

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.

公开(公告)号：US20210375045A1

公开(公告)日：2021-12-02

申请号：US17115697

申请日：2020-12-08

Applicant: VIETTEL GROUP

Inventor： Xuan Canh Cao ,  Tien Dat Nguyen ,  Hai Anh Nguyen ,  Van Duc Tran

IPC: G06T17/20 ,  G06T7/70 ,  G06T7/11 ,  G06T19/20 ,  G06N20/00 ,  G06N5/04

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. Secondly, the method for reconstructing body shape from dressed human image includes 4 steps: (1) Collecting dressed human images, (2) Standardizing and extracting image information, (3) Parameterizing and optimizing human shape, (4) Displaying human body shape.