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
result | interact demo |
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1. introduction
- Build multi-camera system,then capture photos Synchronously,rectify photos,and render them in interactive panel finally
multi-camera system
- This system was built in Beijing for GUARDIAN ART CENTER嘉德艺术中心
嘉德艺术中心展会
Original | Render in new scene |
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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
basketball team training scene
- you can just take one front photo as input,without 1s you can get your 3d face
input | output |
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original | reference1 | reference2 |
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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 |
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护手霜 | 手办1 | 大佛 | 手办2 |
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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.
🥇 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.