深圳大学：Learning 3D mesh segmentation and labeling（PPT讲稿）

◎太学√C可极计算中心 Learning 3D mesh segmentation and labeling Presented by Evangelos Kalogerakis Ayrat Mutygullin Aaron hertzmann 23May2017 Karan Singh

Learning 3D mesh segmentation and labeling Evangelos Kalogerakis Aaron Hertzmann Karan Singh Presented by Ayrat Mutygullin 23 May 2017 1

Goal: mesh segmentation and labeling Input Mesh abeled mesh Head Neck □□□□ Torso Ear cc可视计算研究 Training Meshes

Goal: mesh segmentation and labeling Input Mesh Labeled Mesh Training Meshes Head Neck Torso Leg Tail Ear 2

Related work: mesh segmentation [Mangan and Whitaker 1999, Shlafman et al. 2002 Katz and Tal 2003, Liu and zhang 2004, Katz et al. 2005 Simari et al. 2006. Attene et al 2006, Lin et ql 2007 Kraevoy et al. 2007, Pekelny and Gotsman 2008, Golovinskiy and Funkhouser 2008, Li et al. 2008 Lai et al. 2008, Lavoue and Wolf 2008, Huang et aL. 2009, Shapira et al. 2010 Surveys [Attene et al. 2006, shamir 2008, Chen et al. 20091 cc>可视计算研究中心 Visual Computing Research Center

Related work: mesh segmentation [Mangan and Whitaker 1999, Shlafman et al. 2002, Katz and Tal 2003, Liu and Zhang 2004, Katz et al. 2005, Simari et al. 2006, Attene et al. 2006, Lin et al. 2007, Kraevoy et al. 2007, Pekelny and Gotsman 2008, Golovinskiy and Funkhouser 2008, Li et al. 2008, Lai et al. 2008, Lavoue and Wolf 2008, Huang et al. 2009, Shapira et al. 2010] Surveys: [Attene et al. 2006, Shamir 2008, Chen et al. 2009] 3

Related work: mesh segmentation Shape Diameter Randomized cuts [Shapira et al. 10] [Golovinskiy and Funkhouser 08 Random walks Normalized cuts KVCO LLaietaf 08 Golovinskiy and Funkhouser 08]

Related work: mesh segmentation Shape Diameter [Shapira et al. 10] Randomized Cuts [Golovinskiy and Funkhouser 08] Random Walks [Lai et al. 08] Normalized Cuts [Golovinskiy and Funkhouser 08] 4

Is it possible to perform human level segmentation IX Chen et al. SIGGRAPH c可视计算研究中09]

Is it possible to perform human level segmentation? [X. Chen et al. SIGGRAPH 09] 5

Is it possible to perform human level segmentation IX Chen et al. SIGGRAPH c可视计算研究中09]

Is it possible to perform human level segmentation? [X. Chen et al. SIGGRAPH 09] 6

Related work: computer vision for segmentation and labeling OIII EIR tree sky sky buildit ing cow body road airplane rass gr grass grass Textonboost [Shotton et al. ECCv 061 cc>可视计算研究中心 Visual Computing Research Center

Related work: computer vision for segmentation and labeling Textonboost [Shotton et al. ECCV 06] 7

Related work: mesh segmentation abeling 幺宋 Consistent segmentation of 3D meshes [Golovinskiy and Funkhouser 09] Multi-objective segmentation and labeling cc>可视计算研究中心 Simari et al. 091 Visual Computing Research Center 8

Related work: mesh segmentation & labeling Multi-objective segmentation and labeling [Simari et al. 09] Consistent segmentation of 3D meshes [Golovinskiy and Funkhouser 09] 8

Learning mesh segmentation and labeling Learn from examples Significantly better results than state-of-the-art No manual parameter tuning Can learn different styles of segmentation Several applications of part labeling cc>可视计算研究中心 Visual Computing Research Center

Learn from examples Significantly better results than state-of-the-art No manual parameter tuning Can learn different styles of segmentation Several applications of part labeling Learning mesh segmentation and labeling 9

Labeling problem statement Head □□□□ Neck C Torso 4 CC ∈ C-thead, neck, torso, leg, tail, ear cc>可视计算研究中心 Visual Computing Research Center

Labeling problem statement C = { head, neck, torso, leg, tail, ear } c1 Head Neck Torso Leg Tail Ear c2 c4 c3 1 2 3 c c c C , ,  10