Search Results for author: Pengpeng Hu

Found 16 papers, 0 papers with code

3DBodyNet: Fast Reconstruction of 3D Animatable Human Body Shape from a Single Commodity Depth Camera

no code implementations28 Apr 2021 Pengpeng Hu, Edmond S. L Ho, Adrian Munteanu

As easy-to-use as taking a photo using a mobile phone, our algorithm only needs two depth images of the front-facing and back-facing bodies.

Method for Registration of 3D Shapes Without Overlap for Known 3D Priors

no code implementations15 Mar 2021 Pengpeng Hu, Adrian Munteanu

In this letter, to the best of knowledge, the first method for the registration of 3D shapes without overlap, assuming that the shapes correspond to partial views of a known semi-rigid 3D prior is presented.

MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets

no code implementations20 Jan 2021 Remco Royen, Leon Denis, Quentin Bolsee, Pengpeng Hu, Adrian Munteanu

To the best of our knowledge, this is the first work presenting a generic solution able to achieve quality scalable results within the deep learning framework.

Learning to Estimate the Body Shape Under Clothing from a Single 3D Scan

no code implementations13 Aug 2020 Pengpeng Hu, Nastaran Nourbakhsh Kaashki, Vasile Dadarlat, Adrian Munteanu

In this paper, we propose the first learning-based approach to estimate the human body shape under clothing from a single dressed-human scan, dubbed Body PointNet.

Virtual Try-on

Multi-modal deep network for RGB-D segmentation of clothes

no code implementations30 Apr 2020 Boris Joukovsky, Pengpeng Hu, Adrian Munteanu

In this Letter, the authors propose a deep learning based method to perform semantic segmentation of clothes from RGB-D images of people.

Semantic Segmentation

A generic method of wearable items virtual try-on

no code implementations24 Mar 2020 Pengpeng Hu, Nastaran Nourbakhsh, Jing Tian, Stephan Sturges, Vasile Dadarlat, Adrian Munteanu

In this paper, we present the first general method for virtual try-ons that is fully automatic and suitable for many items including garments, hair, shoes, watches, necklaces, hats, and so on.

Virtual Try-on

Automatic three-dimensional-scanned garment fitting based on virtual tailoring and geometric sewing

no code implementations19 Dec 2018 Duan Li, Yueqi Zhong, Ge Wu, Pengpeng Hu

The patches of the three-dimensional garment were automatically positioned around the human model by setting up the correspondence via feature matching.

Personalized 3D mannequin reconstruction based on 3D scanning

no code implementations16 Apr 2018 Pengpeng Hu, Duan Li, Ge Wu, Taku Komura, Dongliang Zhang, Yueqi Zhong

A personalized mannequin is essential for apparel customization using CAD technologies.

Foot shape prediction using elliptical Fourier analysis

no code implementations17 Dec 2017 Ge Wu, Duan Li, Pengpeng Hu, Yueqi Zhong, Ning Pan

In this paper, a new method was proposed to establish the relationship between three-dimensional (3D) foot shapes and their two-dimensional (2D) foot silhouettes, through which a complete 3D foot shape can be predicted by simply inputting its two 2D silhouettes.

3D textile reconstruction based on KinectFusion and synthesized texture

no code implementations6 Nov 2017 Pengpeng Hu, Taku Komura, Duan Li, Ge Wu, Yueqi Zhong

Purpose The purpose of this paper is to present a novel framework of reconstructing the 3D textile model with synthesized texture.

A study on improving the calibration of body scanner built on multiple RGB-Depth cameras

no code implementations5 Jun 2017 Ge Wu, Duan Li, Yueqi Zhong, Pengpeng Hu

Purpose The calibration is a key but cumbersome process for 3D body scanning using multiple depth cameras.

Scanning and animating characters dressed in multiple-layer garments

no code implementations9 May 2017 Pengpeng Hu, Taku Komura, Daniel Holden, Yueqi Zhong

In this paper, we propose a novel scanning-based solution for modeling and animating characters wearing multiple layers of clothes.

Automatic foot scanning and measurement based on multiple RGB-depth cameras

no code implementations25 Nov 2016 Ge Wu, Duan Li, Pengpeng Hu, Yueqi Zhong, Ning Pan

In this paper, a system with six depth cameras was built to scan both feet simultaneously.

Automatic body measurement based on slicing loops

no code implementations4 Jun 2016 Yueqi Zhong, Duan Li, Ge Wu, Pengpeng Hu

The purpose of this paper is to propose a new method of body measurement based on the loop structure.

Two-step registration in 3D human body scanning based on multiple RGB-D sensors

no code implementations1 Dec 2015 Pengpeng Hu, Yueqi Zhong, Ge Wu, Duan Li

In this paper, we propose a universal registration method for the body scanner consists of multiple fixed sensors.

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