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myProjects

some demos of my projects

If you are interested in any part of the following demos,you can contact me by 1161068239@qq.com or wyr@smail.nju.edu.cn

demo1 Interactive Bullet Time

result interact demo

1. introduction

  • Build multi-camera system,then capture photos Synchronously,rectify photos,and render them in interactive panel finally

Sample

multi-camera system

Sample

嘉德艺术中心展会


demo2 Free viewpoint of video

indoor mini scene

Original Render in new scene

1. introduction

  • Different from the Bullet Time mentioned above,this is a dynamic time video which you can select any viewpoint you like in a view range,just clik and drag the silder on the left side
  • The silder on the left side represents the viewpoint(space),the silder on the bottom represents time

indoor larger scene

basketball team training scene


demo3 Face reconstruction based on Deep Learning

reconstruction from single photo

  • you can just take one front photo as input,without 1s you can get your 3d face
input output

demo4 Face swap

just for fun

original reference1 reference2
null

demo5 3d real-people reasoning game

just for fun

1. introduction

  • Me and my teammates reconstructed ourselves using high precision human body acquisition system in our lab
  • Then we process our models through model mapping and bone binding
  • At last, animated state machine was used to make the model perform some actions
  • We released android apk,you can download and take a try! our game.apk
capture reconstruction remapping&rigging animation

demo6 Texture mapping and rendering based on OpenGL

护手霜 手办1 大佛 手办2

1. introduction

  • From this picture we can know why we need texture mapping,vertex-coloring model seems blurry,even if you take 16 times refinement,the texture-mapping model still seems much more clear.So texture mapping can reserve finer details.

Sample

🥇 vertex-coloring 🥈 16times refine vertex-coloring 🥉 texture-mapping

  • I designed an ''optimized-view texture mapping based on constrained normal''algorithm.Its main idea is chosing the optimized view for each face of the model,occlusion detection module is also added to make it more robust.

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some demos of my projects

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