$30 off During Our Annual Pro Sale. View Details »

LINE's 3D Recognition Technology and Future Prospects

LINE's 3D Recognition Technology and Future Prospects

LINEの3D認識技術と今後の展望
井尻善久(LINE株式会社)
MLAI-TALK #1 での発表資料です
https://line.connpass.com/event/231314/

LINE Developers
PRO

December 01, 2021
Tweet

More Decks by LINE Developers

Other Decks in Technology

Transcript

  1. LINEの3D認識技術と今後の展望
    LINE CVL
    Yoshihisa IJIRI

    View Slide

  2. > ઐ໳ɿίϯϐϡʔλϏδϣϯɾϩϘςΟΫε
    > 0VUEPPSొࢁɾεΩʔɾୌ८ΓɾࣸਅࡱӨɾόΠΫτϥΠΞϧɾɾɾ
    > *OEPPSϐΞϊԋ૗ɾྺ࢙ɾᗉ੡ɾίʔώʔᖿઝɾ΢ΟεΩʔɺΫϥ
    ϑτϏʔϧɾɾɾ
    > ೥ΦϜϩϯೖࣾ
    > إͷݕग़ೝࣝͷσδΧϝɾܞଳి࿩ɺ؂ࢹΧϝϥԠ༻
    > ෺ମݕग़ɾŤŞƄŸƃũŖŢŔƃɾ0$3ͷ'"޲͚঎඼Խ
    > ͠ͳ΍͔ͳ੍ޚΛ࣮ݱ͢Δࣗ཯ιϑτϩϘοτݚڀਪਐ
    > Ϧαʔνϕϯνϟʔ্ཱͪ͛ 0.30/4*/*$9

    > ೥-*/&ೖࣾ
    > $PNQVUFS7JTJPO-BCͷ্ཱͪ͛
    -*/&גࣜձࣾ "*Χϯύχʔ
    "*։ൃࣨ ࣨ௕ɺ$PNQVUFS7JTJPO-BC Ϛωʔδϟʔ
    :PTIJIJTB*KJSJ 1I%

    View Slide

  3. "*ٕज़ͷա೤ͿΓ
    0
    1000
    2000
    3000
    4000
    5000
    6000
    7000
    8000
    1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021
    $713࿦จ౤ߘ਺ͷਪҠ
    出展:IEEE digital library各年度proceedings
    これらを元に独⾃に集計し作成

    View Slide

  4. ίϯϐϡʔλϏδϣϯٕज़ͷա೤ͿΓ
    QVCMJDBUJPO I
    /BUVSF
    5IF/FX&OHMBOE+PVSOBMPG.FEJDJOF
    4DJFODF

    *&&&$7'$POGFSFODFPO$PNQVUFS7JTJPOBOE
    1BUUFSO3FDPHOJUJPO

    5IF-BODFU
    "EWBODFE.BUFSJBMT
    $FMM
    /BUVSF$PNNVOJDBUJPOT
    $IFNJDBM3FWJFXT

    *OUFSOBUJPOBM$POGFSFODFPO-FBSOJOH
    3FQSFTFOUBUJPOT

    +"."
    /FVSBM*OGPSNBUJPO1SPDFTTJOH4ZTUFNT
    1SPDFFEJOHTPGUIF/BUJPOBM"DBEFNZPG4DJFODFT
    +PVSOBMPGUIF"NFSJDBO$IFNJDBM4PDJFUZ
    "OHFXBOEUF$IFNJF
    $IFNJDBM4PDJFUZ3FWJFXT
    /VDMFJD"DJET3FTFBSDI
    3FOFXBCMFBOE4VTUBJOBCMF&OFSHZ3FWJFXT
    +PVSOBMPG$MJOJDBM0ODPMPHZ
    1IZTJDBM3FWJFX-FUUFST
    QVCMJDBUJPO I
    "EWBODFE&OFSHZ.BUFSJBMT
    /BUVSF.FEJDJOF
    *OUFSOBUJPOBM$POGFSFODFPO.BDIJOF-FBSOJOH
    &OFSHZ&OWJSPONFOUBM4DJFODF
    "$4/BOP
    4DJFOUJGJD3FQPSUT
    &VSPQFBO$POGFSFODFPO$PNQVUFS7JTJPO
    5IF-BODFU0ODPMPHZ
    "EWBODFE'VODUJPOBM.BUFSJBMT
    1-P4 0/&

    *&&&$7'*OUFSOBUJPOBM$POGFSFODFPO$PNQVUFS
    7JTJPO

    /BUVSF(FOFUJDT
    +PVSOBMPG$MFBOFS1SPEVDUJPO
    /BUVSF.BUFSJBMT
    4DJFODFPG5IF5PUBM&OWJSPONFOU
    $JSDVMBUJPO
    #.+
    +PVSOBMPGUIF"NFSJDBO$PMMFHFPG$BSEJPMPHZ
    "QQMJFE$BUBMZTJT#&OWJSPONFOUBM
    4DJFODF"EWBODFT
    出展:Google Scholar

    View Slide

  5. 5
    LINEの藤原師匠
    CVPRやICCVにバンバン通していた
    (それで私もジョインした!)

    View Slide

  6. ͳͥ఺܈ʁ

    View Slide

  7. ը૾
    ✔ ࠲ඪܥ
    ✔ ॱং
    ✔ εέʔϧ
    ఺܈
    ʁ ࠲ඪܥ
    ʁ ॱং
    ʁ εέʔϧ
    ఺܈ͷ೉͠͞

    View Slide

  8. ՝୊Λ৐Γӽ͑ΔͨΊओʹΞϓϩʔνଘࡏ
    Point-based: Qi et al. [CVPR 2017]
    Alternative representation: Sinha et al. [ECCV 2016]
    Voxel based: Wu et al. [CVPR 2015]
    Image-based: Kanezaki et al. [CVPR 2018]
    αΠζ
    ϝογϡ͕ඞཁ
    લॲཧ͕ඞཁ
    ࠲ඪ஋
    ؔ਺ͱͯ͠දݱ͢Ε͹Α͍ͷͰ͸ʁ
    ओͳղੳख๏

    View Slide

  9. • ಛ௃ͱͯ͠ωοτϫʔΫͷॏΈΛར༻
    • લॲཧʴಛघͳωοτϫʔΫΛ࠾༻͢Δ͜ͱʹΑΓ࠲ඪɾεέʔϧෆมʹ
    https://github.com/kentfuji/NeuralEmbedding
    /FVSBM*NQMJDJU&NCFEEJOHGPS1PJOU$MPVE"OBMZTJT
    <'VKJXBSB$713>

    View Slide

  10. ը૾
    ✔ ࠲ඪܥ
    ✔ ॱং
    ✔ εέʔϧ
    ఺܈
    ʁ ࠲ඪܥ
    ✔ ॱং
    ✔ εέʔϧ
    ఺܈ͷ೉͠͞

    View Slide

  11. model
    chair bed ʜ table
    ʜ
    ʜ
    ճసෆมͷ࣮ݱ

    View Slide

  12. A Closer Look at Rotation-Invariant Deep Point Cloud Analysis
    [Li and Fujiwara+, ICCV2021]

    View Slide

  13. • ओ੒෼෼ੳͷ࣠ͷ૊Έ߹ΘͤͰճసΛࣔ͢΋ͷΛಛఆ
    • 4FMFDUPSϞδϡʔϧΛఏҊ͠࠷దͳ࢟੎ͷநग़Λ࣮ݱ
    MLP
    major
    network
    pooling
    softmax
    !
    24
    3N
    N
    3
    A Closer Look at Rotation-Invariant Deep Point Cloud Analysis
    [Li and Fujiwara+, ICCV2021]

    View Slide

  14. ը૾
    ✔ ࠲ඪܥ
    ✔ ॱং
    ✔ εέʔϧ
    ఺܈
    ✔ ࠲ඪܥ
    ✔ ॱং
    ✔εέʔϧ
    ఺܈ͷ೉͠͞

    View Slide

  15. ϊΠζͷଘࡏ΍ରԠؔ܎͕ະ஌ͷ৔߹ɽɽɽ

    View Slide

  16. 𝐴!! 𝐴!"
    ⋯ 𝐴!#
    𝐴"! 𝐴""
    ⋯ 𝐴"#

    𝐴$!

    𝐴$"
    ⋱ ⋮
    ⋯ 𝐴$#
    𝐱 =
    𝑏!
    𝑏"

    𝑏$
    min
    𝐱
    𝐀𝐱 − 𝐛 "
    "
    ఺܈" C͕༩͑ΒΕͨ৔߹ɼม׵YΛٻΊΔ
    順序が必要!
    ઢܗճؼ (Linear Regression)

    View Slide

  17. ఺܈" C͕༩͑ΒΕͨ৔߹ɼஔ׵ߦྻ1ͱม׵YΛٻΊΔ
    同じ点数が必要!
    min
    𝐱, 𝐏
    𝐀𝐱 − 𝐏𝐛 "
    "
    𝐴!!
    𝐴!"
    ⋯ 𝐴!#
    𝐴"!
    𝐴""
    ⋯ 𝐴"#

    𝐴$!

    𝐴$"
    ⋱ ⋮
    ⋯ 𝐴$#
    𝐱 =

    𝑏$
    𝑏"
    𝑏!
    𝐏() ∈ {0, 1}
    5
    (
    𝐏() = 1 5
    )
    𝐏() = 1
    Shuffled Linear Regression [Ashwin+, 2017]

    View Slide

  18. ఺܈" C͕༩͑ΒΕͨ৔߹ɼஔ׵ߦྻ1ͱม׵YΛٻΊΔ
    外れ値と順序の特定が可能!
    min
    𝐱, 𝐏
    𝐀𝐱 − 𝐏𝐛 "
    "
    𝐴!!
    𝐴!"
    ⋯ 𝐴!#
    𝐴"!
    𝐴""
    ⋯ 𝐴"#

    𝐴$!

    𝐴$"
    ⋱ ⋮
    ⋯ 𝐴$#
    𝐱 =

    𝑏$
    𝑏"
    𝑏!
    𝐏()
    ∈ {0, 1}
    5
    (
    𝐏()
    ≤ 1 5
    )
    𝐏() ≤ 1
    5
    (,)
    𝐏() = 𝑘
    Generalized Shuffled Linear Regression [Li and Fujiwara+, ICCV2021]

    View Slide

  19. • ֊਺མͪͷஔ׵ߦྻ΋ѻ͑Δ b4IVGGMFE-JOFBS3FHSFTTJPO`
    • ఺܈͚ͩͰͳ͘ը૾ͷಛ௃఺ͳͲʹ΋ରԠՄೳ
    Source Target GSLR (ours)
    Feature matching
    w/ RANSAC SLR
    Source FMAP ICP BCICP ZoomOut-100 GSLR (ours)
    94.4%
    62.0%
    83.4%
    52.6%
    37.1%
    (FOFSBMJ[FE4IVGGMFE-JOFBS3FHSFTTJPO
    <-JBOE'VKJXBSB *$$7>

    View Slide

  20. ̏DʴTime = Motion
    Motion + Linguistics = Cmd2motion
    ͜Ε͔Βɾɾɾ

    View Slide

  21. 21
    -*/&$7-ͷ஫ྗٕज़ $79ٕज़
    ࣗવݴޠॲཧ
    ೖྗ
    Ի੠
    σδλϧ
    ςΩετ
    ը૾ಈը
    3(#%5

    ݴޠ
    ςΩετ
    ը૾
    ਤද
    Ի੠ೝࣝ
    $713
    ॲཧ ੜ੒
    Ի੠߹੒
    $(
    ςΩετग़

    5F9ͳͲ
    ϚϧνϝσΟΞೖྗʹରԠ͢ΔϚϧνϞʔμϧॲཧ"*ٕज़ $7Y˓˓ٕज़͕ॏཁʹʂ
    ʢ$7Λத৺ͱͯ͠Έͨͱ͖ͷϚϧνϞʔμϧ"*ٕज़ͷҙຯͰԬຊࢯ͕$79ٕज़ͱ໋໊ʣ

    View Slide

  22. %PDVNFOU6OEFSTUBOEJOH "*0$3

    Semantic
    Information
    S-Overtime 50%
    (count) 1
    (unitpric
    e)
    20,000
    (price) 20,000
    PBI 1,818
    Subtotal 18,181
    Total 20,000
    Cash 100,000
    Change 80,000
    Tax Included 10%
    Image
    Spatial Dependency Parsing for Semi-Structured Document
    Information Extraction [Hwang+, ACL2020]

    View Slide

  23. 23
    -BZPVUSFDPHOJUJPO
    ςΩετͷϨΠΞ΢τΛೝࣝ͢Δ͜ͱͰϑΟʔϧυݕࡧΛՄೳͱ͢Δ

    View Slide

  24. #FZPOEDVSSFOU"*0$3ʜ
    $IBSBDUFSUZQF
    5FSNJOPMPHZ
    (SBNNBS
    'PSNMBZPVU
    5PQJDTTUZMF
    %PDVNFOUUZQF
    %PNBJO
    LOPXMFEHF
    1VSQPTF UBTL
    $VTUPNFS
    TQFDJGJD
    LOPXMFEHF
    $PNNPO
    LOPXMFEHF
    7JTVBMQBUUFSOT
    $POUFYU 510
    MFWFMPGGPOMZXJUI
    WJTVBMQBUUFSOT
    $PNCJOBUJPOXJUI/-1
    CFDPNFTDSVDJBM
    $IBSBDUFS
    -BOHVBHF
    8PSE

    View Slide

  25. 25
    岡本さんから
    次回以降に紹介!

    View Slide

  26. 26
    -*/&$7-ͷ஫ྗٕज़ $79ٕज़
    ࣗવݴޠॲཧ
    ೖྗ
    Ի੠
    σδλϧ
    ςΩετ
    ը૾ಈը
    3(#%5

    ݴޠ
    ςΩετ
    ը૾
    ਤද
    Ի੠ೝࣝ
    $713
    ॲཧ ੜ੒
    Ի੠߹੒
    $(
    ςΩετग़

    5F9ͳͲ
    ϚϧνϝσΟΞೖྗʹରԠ͢ΔϚϧνϞʔμϧॲཧ"*ٕज़ $7Y˓˓ٕज़͕ॏཁʹʂ
    ʢ$7Λத৺ͱͯ͠Έͨͱ͖ͷϚϧνϞʔμϧ"*ٕज़ͷҙຯͰԬຊࢯ͕$79ٕज़ͱ໋໊ʣ

    View Slide

  27. STRICTLY CONFIDENTIAL
    -*/&"*$PNQBOZͷ໨ࢦ͢ੈք
    ʮͻͱʹ΍͍͞͠"*ʯ͕ɺ
    ੜ׆΍ϏδωεʹજΉ൥Θ͠͞Λղফ͠ɺ
    ʮ͜Ε͔Βͷ͋ͨΓ·͑ʯΛ૑Γ·͢ɻ
    "*ΧϯύχʔͰ͸ɺ-*/&ͷ΋ͭ"*ٕज़Λফඅऀ޲͚͔Β๏ਓ޲͚·Ͱ෯޿͘ల։͍ͯ͠·͢ɻ
    อ༗͢Δٕज़ʹ͸ࣗવݴޠॲཧɺจࣈɺը૾ɺإɺԻ੠ͷೝࣝ΍Ի੠߹੒ͳͲ͕͋Γɺ
    ࣾձ΍اۀͷ՝୊΍χʔζʹ߹Θͤͯઃܭ͔Β࣮૷·ͰΛߦ͍ɺ"*ͷࣾձਁಁΛਪਐ͍ͯ͠·͢ɻ
    ͦΜͳࢲͨͪ͸ɺ
    ʮΑΓࣗવͳϢʔβʔମݧΛ -JGFPO-*/& ʹ΋ͨΒ͢͜ͱͰ ͜Ε͔Βͷ͋ͨΓ·͑Λͭ͘Γͩ͢ʯ
    ͱ͍͏7JTJPOΛ࣋ͬͯ೔ʑΛա͍ͯ͝͠·͢ɻ
    Ϗδωεͱ"*ɺਓͱ"*ͷڑ཭Λ͚ۙͮɺ
    ೔ʑͷۀ຿΍ͦͷઌͷਓʑͷੜ׆ʹدΓఴ͏ʮ͜Ε͔Βͷ͋ͨΓ·͑ʯΛ૑ग़͠ɺ
    ΑΓศརͳࣾձΛ࣮ݱ͠·͢ɻ

    View Slide

  28. STRICTLY CONFIDENTIAL
    $-07"$IBUCPU
    -*/&͔ΜͨΜϔϧϓ΍$-07"Ͱഓͬͨ
    ࣗવݴޠٕज़Λɺ'"2΍઀٬༻#PUʹ
    ల։Ͱ͖ΔαʔϏε
    LINE CLOVA
    Chatzbot
    $-07"0$3
    ࠃࡍձٞͰੈք࠷ߴਫ४ͱೝΊΒΕͨ
    OCRٕज़Λਃࠐॻ΍ྖऩॻͳͲͷಡΈऔΓɺ
    ࣗಈೖྗʹ׆༻Ͱ͖ΔαʔϏε
    LINE CLOVA
    OCR
    $-07"4QFFDI
    $-07"ͷԻ੠ೝٕࣝज़Λ׆༻͠ɺ
    ి࿩΍ಈըϝσΟΞͷԻ੠ॻ͖ى͜͠ɺ
    ి࿩ԠରͷࣗಈԽαʔϏεͳͲΛఏڙ
    LINE CLOVA
    Speech
    $-07"7PJDF
    $-07"ͷԻ੠߹੒ٕज़Λ׆༻͠ɺ
    اۀϒϥϯυ΍༻్ʹ͋ͬͨԻ੠ϞσϧΛ࡞੒
    ͢ΔαʔϏεΛఏڙ༧ఆ
    LINE CLOVA
    Voice
    $-07"5FYU"OBMZUJDT
    ςΩετղੳɺײ৘෼ੳٕज़ɻ
    Ի੠ೝࣝͰىͨ͜͠ςΩετ͔Βͷݕࡧ΍
    ײ৘෼ੳͳͲʹ׆༻ɻ
    LINE CLOVA
    Text Analytics
    $-07"7JTJPO
    ෺ମೝࣝɺը૾ೝٕࣝज़ɻ
    LINEγϣοϐϯάͷʮSHOPPING LENSʯͰ׆༻ɻ
    LINE CLOVA
    Vision
    $-07"'BDF
    ߴਫ਼౓ͷإೝٕࣝज़ɻ
    eKYCʢΦϯϥΠϯຊਓ֬ೝʣ
    ΍إೝূʹΑΔड෇ͳͲʹ׆༻ɻ
    LINE CLOVA
    Face
    -*/&$-07"ͷ ϓϩμΫτ
    4BB4ఏڙ
    4BB4ఏڙ
    -*/&ͷ࣋ͭଟ༷ͳ"*ཁૉٕज़Λجʹ෯޿͍##޲͚ϓϩμΫτΛల։͍ͯ͠·͢ʢҰ෦4BB4ͱͯ͠ఏڙʣɻ

    View Slide

  29. "*Χϯύχʔ͕ఏڙ͍ͯ͠ΔαʔϏε

    View Slide

  30. "*Χϯύχʔ ͷ 3%7JTJPO
    $POTFSWBUJWF
    %JTSVQUJWF
    5JNF

    *OUFSBDUJWFWJSUVBM
    FYQFSJFODF
    "VUPOPNPVT"*
    XPSLGMPX
    %JHJUBM.F
    .F"7"5"3
    %JHJUBM*EFOUJUZ
    #FUUFS$BSF
    5SVTUXPSUIZ"*
    "*'BJSOFTT
    &YQMBJOBCMF"*
    %BSL%BUB
    0NOJQPUFOU"*
    (JHBOUJD-BOHVBHFNPEFM
    6OMBCFMFE%BUB
    %BUB.BSLFUQMBDF
    (FOFSBUJWF*OUFMMJHFODF
    /FX&EVDBUJPO
    %FQFOEBCMF455
    1SJWBDZQSFTFSWJOH
    4FBN%JTDSJNJOBUPS

    View Slide

  31. View Slide

  32. ʣ*$"441 ʣ*/5&341&&$) ʣ8"41"" ʣ
    #JH%BUB

    ʢʣ*$"441
    &64*1$0
    */5&341&&$)

    %$"4&
    "14*1"

    $713
    51%1
    '-*$.-
    -%3$

    *$"441
    *$3"
    *6*
    *$%&
    *$$7

    各分野最⾼峰の会議で認められるAI 基礎研究成果
    ͜Ε·Ͱͷ੒Ռ

    View Slide

  33. ⾃由度が⾼い発話のリアルタイム認識で⾃然な会話の
    書き起こしを実現!
    ։ൃதͷٕज़ 4QFFDI

    CLOVA note

    View Slide

  34. %// Ի੠߹੒
    ʙײ৘Λॊೈʹ੍ޚՄೳͳԻ੠߹੒Λ࣮ݱʙ
    COntrollable, High-quality, And expRessIve TTS
    明るさ
    暗さ
    😀 😄
    🙂
    😐
    😢
    😰 😥
    ։ൃதͷٕज़ʢ7PJDFʣ

    View Slide

  35. HyperCLOVA
    1750億超のパラメータを有する汎⽤⾔語モデルを開発
    ։ൃதͷٕज़ʢ/-1ʣ

    View Slide

  36. 国会図書館デジタルアーカイブ プロジェクト
    247万点2.23億ページ超のデジタル・アーカイブ化
    ։ൃதͷٕज़ʢ$7-ʣ
    https://linecorp.com/ja/pr/news/ja/2021/3825

    View Slide

  37. ੜ׆΍ϏδωεʹજΉ൥Θ͠͞Λղܾ͠
    ͜Ε͔Βͷ͋ͨΓ·͑Λ૑Γग़͢ʂ
    Ұྲྀʹͩ͜ΘΔΠϯλʔφγϣφϧͳνʔϜ

    View Slide

  38. View Slide

  39. Our challenge
    Innovation by mixing LINE AI assets, especially NLP, voice/speech, and CV
    .JYFE-*/&"*.J-"*
    .VMUJNPEBMJOQVUPVUQVU

    View Slide

  40. View Slide

  41. View Slide

  42. View Slide

  43. View Slide

  44. 44
    STRICTLY CONFIDENTIAL
    $-07"0$3
    Point 1 ੈք࠷ߴਫ४ͷ"*0$3
    Point 2 ͋ΒΏΔॻྨ΍ը૾Λૉૣ͘ςΩετԽ
    Point 3 खॻ͖ͷจࣈ΋ೝࣝՄೳ
    ԣॻ͖΍ॎॻ͖ɺؙ͘࿷ۂͨ͠จࣈͳͲѱ৚݅ԼͰͷಡΈऔΓɺଟݴޠͷ
    ೝࣝɺઐ໳༻ޠͷೝࣝͳͲͰߴ͍ਫ਼౓ͱධՁɻจॻղੳͱೝࣝʹؔ͢Δࠃ
    ࡍձٞ *$%"3
    ͷ෼໺ʹͯੈք/PΛ֫ಘ͍ͯ͠·͢ɻ
    ϑΥʔϚοτ͕ܾ·͍ͬͯΔॻྨ͸΋ͪΖΜɺ͋ΒΏΔελΠϧͷॻྨΛ
    ਖ਼͘͠ςΩετԽ͠·͢ɻ$-07"0$3ʢྖऩॻɾ੥ٻॻɾϨγʔτಛ
    ԽܕʣͰ͸ɺϑΥʔϚοτͷࣄલొ࿥͕ෆཁɻ
    खॻ͖จࣈ΍ɺࣼΊʹͳͬͨจࣈ΋ߴਫ਼౓ͷೝূ͕Մೳ

    View Slide

  45. 45
    STRICTLY CONFIDENTIAL
    4"1$PVODVS +BQBO
    ࢴͷ੥ٻॻͷσδλϧԽͷύʔτφʔͱͯ͠-*/&$-07"Λબఆ
    גࣜձࣾതใಊ%:ϝσΟΞύʔτφʔζ
    γϦΞϧφϯόʔΛಡΈऔΔ͜ͱͰɺίϯϏχԁ͘͡ΛΦϯϥΠϯԽ
    -*/&τʔΫϧʔϜ
    τʔΫϧʔϜ͔Βը૾ΛࡱΔ͚ͩͰจࣈೝࣝػೳ͕ར༻Մೳ
    Ϋϥ΢υαʔϏεͱͷύʔτφʔγοϓ
    ৽ͨͳιϦϡʔγϣϯͱͯ͠ͷ׆༻
    -*/&αʔϏε΁ͷߩݙ
    ʘ GPS*/70*$&ʗ
    -*/&Ϩγʔτ -*/&1-"$&
    ϨγʔτΛ"*ͰಡΈऔΔ͜ͱͰɺֹۚͱ඼໨͕ࣗಈͰ෼ྨɻ
    ࢧग़؅ཧ΍ར༻͓ͨ͠ళͷޱίϛαΠτ΁ͷ౤ߘͳͲ͕؆୯ʹɻ
    $-07"0$3ಋೖࣄྫ

    View Slide

  46. 46
    STRICTLY CONFIDENTIAL
    $POGJEFOUJBM
    -*/&"J$BMM
    Point 1 ϢʔβʔΛ଴ͨͤͳ͍ར༻ମݧ
    Point 2 ਓؒຯ͋;ΕΔࣗવͳର࿩
    Point 3 طଘγεςϜ΍-*/&ͱͷ࿈ܞ
    ࣌ؒ೔ɺडిମ੍Λ༻ҙͰ͖Δ͜ͱ͸΋ͪΖΜɺ൪߸ೖྗͰରԠ
    ಺༰ΛৼΓ෼͚Δ*73ʢ*OUFSBDUJWF7PJDF3FTQPOTFʣͱ͸ҟͳΓɺॊೈ
    ʹରԠ͠·͢ɻ
    ཈༲ͷ͋Δਓؒʹ͍ۙࣗવͳԻ੠ͰɺϢʔβʔʹετϨεΛֻ͚·ͤΜɻ
    ·ͨɺ"*ʹΑΔԻ੠ೝࣝͷֶशʹΑΓɺԻ੠ೝࣝͱର࿩ͷਫ਼౓͕޲্͠ɺ
    ରԠ඼࣭͕޲্͠·͢ɻ
    ͜Ε·ͰՍిडిޙʹߦ͍ͬͯͨΞφϩάͳσʔλ੔උۀ຿΋ɺγες
    Ϝ࿈ܞʹΑΓܰݮ͠·͢ɻ·ͨɺ-*/&΍4.4ͱ࿈ܞ͢Δ͜ͱͰɺ௨࿩ޙ
    ʹϢʔβʔʹࣗಈͰϝοηʔδΛૹ৴͢Δ͜ͱ΋ՄೳͰ͢ɻ

    View Slide

  47. 47
    STRICTLY CONFIDENTIAL
    ϠϚτӡ༌גࣜձࣾ
    ސ٬͔Βͷి࿩ʹΑΔूՙड෇
    ਆಸ઒ݝ
    ৽ܕίϩφి࿩૬ஊ૭ޱ
    גࣜձࣾΤϏιϧ
    ҿ৯ళ޲͚༧໿؅ཧγεςϜ
    גࣜձࣾΧʔϑϩϯςΟΞ
    Χʔϝϯςφϯε༧໿αʔϏε
    େखاۀͷۀ຿ʹಋೖ
    ެڞߦ੓ͷෛ୲ܰݮ
    ϓϥοτϑΥʔϜͱͷػೳ࿈ܞ
    -*/&"J$BMM ಋೖ࣮੷

    View Slide

  48. 48
    STRICTLY CONFIDENTIAL
    -*/&F,:$
    Point ߴਫ਼౓ͷΦϯϥΠϯຊਓ֬ೝ
    -*/& F,:$͸ɺ-*/&͕։ൃͨ͠"*ٕज़Λ૊Έ߹Θͤɺ҆શੑͱརศੑΛ
    ཱ྆ͨ͠ɺΦϯϥΠϯ্Ͱͷຊਓ֬ೝΛ׬݁͢ΔιϦϡʔγϣϯͰ͢ɻ
    "1*΍4%,ͳͲ๛෋ͳఏڙํ๏ʹΑΓɺར༻໨తʹ͋ͬͨΧελϚΠζ͕
    ՄೳͰ͢ɻखଓ͖ͷ؆ུԽʹΑͬͯɺۀ຿ޮ཰ԽɾϢʔβʔ΁ͷརศੑ
    ఏڙɺͳΓ͢·͠ʹΑΔෆਖ਼ΞΫηεɾෆਖ਼ར༻ͷ๷ࢭΛ࣮ݱ͠·͢ɻ

    View Slide

  49. 49
    STRICTLY CONFIDENTIAL
    -*/&1BZ
    εϚϗͱ਎෼ূ͕͋Ε͹Ͱ͖ΔʮεϚϗͰ͔ΜͨΜຊਓ֬ೝʯ
    -*/&1BZͰͷಋೖ
    -*/&F,:$ ಋೖࣄྫ

    View Slide