3次元ビデオによる人体3次元計測とその応用
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(2) Vol.2013-CG-153 No.18 Vol.2013-CVIM-189 No.18 2013/11/29. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ... Multi-view images. Visual hull. 3D video. ... Multi-view silhouettes. Photo hull ਤ 2 ̏࣍ݩϏσΦੜͷྲྀΕ. ଟࢹΧϝϥ܈Λඋ͑ͨελδΦͰࡱӨ͞ΕΔ [21][20] [3]ɽ ͜͜Ͱ̏࣍ݩϏσΦࡱӨ͕ՄೳͱͳΔൣғɼ֤Χϝϥ ͷը֯ͱඃࣸքਂͷڞ௨ྖҬͱܾͯ͠ఆ͞Εɼ֤Χϝϥ. Object. ͷࡱӨՄೳൣғΑΓຊ࣭తʹͳ͘ڱΔɽͦͷͨΊղ૾. 16 Cameras 6m. Floor. Λ٘ਜ਼ʹͤͣʹൣғࡱӨΛ࣮͢ݱΔʹɼ୯७ʹΧϝϥ. 6m. Λ૿ͯ͠ҟͳΔۭؒྖҬΛ୲ͤ͞Δ͔ɼ͘͠ (a). ਤ 3. (b). ύϯνϧτՄೳͳೳಈΧϝϥʹ܈ΑͬͯࡱӨΛߦ͏ඞ. Մൖࣜ̏࣍ݩϏσΦࡱӨελδΦ [20] ͷ (a) ֎( ͱ؍b) Χϝ ϥஔਤ. ཁ͕͋Δɽ ͔͠͠௨ৗͷମࡱӨͱҟͳΓɼ̏࣍ݩϏσΦੜ ͷͨΊʹ. Δ͕ҟͳΔɽ ࣗ༝ࢹ TV. ࣗ ༝ ࢹ TV. ( 1 ) ֤࣌ࠁͰରମΛશͯͷํ͔Βेͳղ૾Ͱࡱ (Free-viewpoint. TV,. FTV)[18][19] ʹؔ͢Δݩ࣍̏ͱڀݚϏσΦɼଟࢹ Χϝϥө૾Λೖྗͱͯࣗ͠༝ࢹө૾Λੜ͢Δͱ͍. ӨͰ͖Δ͜ͱ. ( 2 ) ֤ࡱӨ࣌ࠁͰͷΧϝϥͷ෦ɾ֎෦ύϥϝʔλ͕े ͳਫ਼ͰಘΒΕΔ͜ͱ. ͏ڞͰ؍௨͕ଟ͍͕ɼ̏࣍ݩϏσΦ͕̏࣍ܗݩঢ়. Λอূ͢ΔΑ͏ʹɼৗʹ֤ΧϝϥΛ੍͠ޚଓ͚ͳͯ͘ͳ. ใΛཅʹٻΊΔ͜ͱͰɼͦΕΛͨ͠ʹجӡಈਪఆͳ. Βͳ͍ɽ͜ΕΛ࣮͢ݱΔͨΊͷख๏ͱͯ͠ɼචऀΒηϧ. ͲΛՄೳͱ͢Δͷʹରͯ͠ɼFTV Ͱࣗ༝ࢹө૾. ํࣜͱͿݺίϯηϓτʹ͍ͯͮجɼλʔήοτͱ͢ΔࡱӨ. ੜͷͨΊʹ̏࣍ܗݩঢ়ใ͕ؒతʹ༻͍ΒΕɼཅ. ۭؒΛࣗ༝ʹӡಈ͢Δඃࣸମͷ̏࣍ݩϏσΦࡱӨΛ࣮ݱ. ʹ͢ࢉܭΔ͜ͱΛॏࢹ͠ͳ͍ʹಛ͕͋Δɽ. ͢ΔΞϧΰϦζϜΛఏҊ͍ͯ͠Δ [22][3]ɽ. 2. ̏࣍ݩϏσΦͷੜϓϩηε. 2.2 ରྖҬநग़. ̏࣍ݩϏσΦੜͷجຊతͳྲྀΕΛਤ 2 ʹࣔ͢ɽ·ͣ̏. ରྖҬநग़ԿΒ͔ͷࣄલࣝʹࡱ͍ͯͮجӨը૾Λ. ࣍ݩϏσΦੜͷೖྗͱͳΔଟࢹө૾͔Βରը૾ྖҬ. ରʢલܠʣྖҬͱഎྖܠҬʹׂ͢ΔॲཧͰ͋Γɼγϧ. ʢγϧΤοτʣΛநग़͠ɼ͜ΕΛ ͯ͠ʹجvisual hull ΛಘΔɽ. Τοτநग़ɼ͋Δ͍ (alpha) matting ͳͲͱݺΕΔɽ. ͍࣍ͰςΫενϟใ͕࠷߹͢Δʢphoto-consistecy. ͜ͷ͏ͪ matting ͱݺΜͩ߹ಛʹલͱܠഎܠͷڥք. ͕࠷ߴ͍ʣܗঢ়ͱͯ͠ photo hull Λਪఆͨ͠ʹޙɼ͜Ε. ෦ʹ͓͍ͯըૉͷЋɼ͢ͳΘͪલͱܠഎܠͷࠞ߹Λ. ͷද໘ςΫενϟΛੜ͢Εɼࣗ༝ͳࢹ͔Βө૾ԽͰ. ਪఆ͢Δ͜ͱΛతͱ͢Δ͜ͱ͕ଟ͍ [23]ɽҰํͰγϧ. ͖Δ̏࣍ݩϏσΦ͕ੜ͞ΕΔɽҎ߱Ͱ֤εςοϓʹͭ. Τοτநग़ͱݺΜͩ߹Ћ͕ 0 ͱ 1 ͷೋͱͯ͠. ͍ͯɼͦͷུ֓Λड़Δɽ. Λ؆୯Խ͍ͯ͠Δ߹͕ଟ͍ɽ. 2.1 ଟࢹө૾ࡱӨ. ࠩܠΫϩϚΩʔ͕දతͰ͋Δɽഎࠩܠͱɼ·ͣ. ରྖҬநग़ʹ༻͍ΒΕΔ۩ମతͳࣄલࣝͱͯ͠എ ̏࣍ݩϏσΦੜʹ༻͍Δଟࢹө૾ɼਤ 3 ͷΑ͏ʹ. c 2013 Information Processing Society of Japan . 2.
(3) Vol.2013-CG-153 No.18 Vol.2013-CVIM-189 No.18 2013/11/29. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. Object. ର͕ଘࡏ͠ͳ͍ঢ়ଶͰࣄલʹը૾ΛࡱӨ͓͖ͯ͠ɼ࣮ࡍ. Background. Reflectance. ʹର͕ଘࡏ͢Δঢ়ଶͰͷը૾ͱͷࠩΛݕग़͢Δ͜ͱʹج. Shape. ͔ͷܾ·ͬͨ৭ҬͰ౷Ұ͠ʢਤ 3(a)ʣɼࡱӨը૾ͷ֤ըૉ. Interreflection. Highlight. ͕ͦͷ৭Ҭʹ͚ۙΕഎܠɼԕ͚Εલ͢ͳݟͱܠख๏. Reflection. ͮ͘ख๏Ͱ͋Δɽ͢ͳΘͪҰఆҎ্ͷ͕ࠩଘࡏ͢Ε. Reflectance. Lighting. Texture. Texture. Shape. લܠɼͦ͏Ͱͳ͚Εഎ͢ͱܠΔɽҰํΫϩϚΩʔͰɼ എܠ৭ΛϒϧʔɼάϦʔϯɼάϨʔɼϗϫΠτͳͲͳΜΒ. Ͱ͋Δ*1 ɽ. Shading. Shadow. Light field. Refraction. Scattering. Occlusion (Silhouette). Disparity. ͔͍ͣ͠͠Εͷख๏ʹ͓͍ͯɼ֤ըૉಠཱʹલܠɾഎ ܠͷஅΛߦͬͯ͠·ͬͯϊΠζʹऑ͘ͳ݈ؤରྖ Ҭநग़Λ࣮͢ݱΔ͜ͱ͍͠ɽͦͷͨΊྡ͢Δըૉ. I1. ಉ࢜Ͱͷલܠɾഎܠͷྨʹ࿈ଓੑΛ࣋ͨͤΔख๏͕Ұ. I2. C1. ൠʹ༻͞Εɼಛʹલܠɾഎܠͷೋʹྨ͢Δɼ. IN. C2. ^. I. CN. ^. C. ਤ 4 ̏࣍ݩϏσΦͷࢉܭϞσϧ [3]. min-cut/max-flow ʹมີݫͯ͠ղΛٻΊΔΑ͏ʹ. Object. ΞϧΰϦζϜԽ͞ΕΔ͜ͱ͕ଟ͍ [24][25]ɽ. Shape. ͢Δଟࢹը૾ؔʹ͍ޓ࿈ͷͳ͍ը૾ͷू߹Ͱͳ͘ɼ ಉ͡ରΛҟͳΔํ͔ΒࡱӨͨ͠ͷͰ͋ΔɽͦͷͨΊ. Lambertian reflection. ԿΒ͔ͷؒࢹͰܗͷؔΛ༻͠ɼΑΓͳ݈ؤରྖҬ Λ࣮͢ݱΔख๏ఏҊ͞Ε͍ͯΔɽ ྫ͑ಉ͡ରΛҟͳΔํ͔ΒࡱӨͨ͠ͱ͍͏ࣄ࣮͔. Lighting Shap. e-fro. -Stereo. Texture. Shape-from. ߦΘΕΔҰൠతͳख๏Ͱ͋Δ͕ɼ̏࣍ݩϏσΦࡱӨͰ༻. Background. Reflectance. ·্ͨهͷഎࠩܠɾΫϩϚΩʔը૾̍ຕຖʹಠཱʹ. Shading. m-S. Reflectance. Texture. Shape. ilhou. ette. Shadow. Occlusion (Silhouette). Light field. Disparity. Βɼجຊతʹલͱܠഎܠͷ৭ώετάϥϜࢹ͕ม Θͬͯେ͖ͳมԽ͕ੜ͡ͳ͍͜ͱ͕ظͰ͖Δͱ͢Δɽ ͜ͷԾఆʹ͖ͮجɼ͋ΔࢹͰ͋ΔըૉΛલ͋ܠΔ͍ എ͏͍ͱͨ͠ͱܠஅ݁Ռ͕ผͷࢹͰҙຯΛ࣋ͭͱݟ. I1. I2. C1. ͳ͠ɼલܠɾഎܠͷஅ݁ՌΛࢹؒͰൖͤ͞Δख๏͕. ਤ 5. C2. IN. CN. ̏࣍ܗݩঢ়෮ݩͷࢉܭϞσϧ [3]. ఏҊ͞Ε͍ͯΔ [26]ɽ ͞Βʹɼ֤ࢹͰಠཱʹରྖҬநग़Λͯ͠͠·ͬͯɼ. Λද͠ɼͦͷ͏ͪഁઢ؆୯ԽͷͨΊʹແࢹ͞ΕΔӨڹΛ. ͦͷ݁Ռ͕͋Δڞ௨ͷ̏࣍ܗݩঢ়ͷӨ૾ͱͯ͠ໃ६͕. ද͢ɽࠇ৭࣮ઢ̏࣍ܗݩঢ়෮ٯͯ͠ͱݩΛղ͘աఔ. ແ͍͜ͱΛอূ͢Δ͜ͱ͕Ͱ͖ͳ͍ɽ͜Ε intersection. Λ͍ࣔͯ͠Δɽ͢ͳΘͪӄӨӄɼ۶ંࣹɾࢄཚͷӨ. consistency[27] ͱݺΕɼײతʹ֤ࢹͰಘΒΕͨγ. ڹߟྀ͞Εͣɼମද໘ʹ͓͚Δશ֦ࢄࣹͱɼ·ͨ. ϧΤοτ͔Βࢹମੵަࠩ๏ʹΑͬͯ visual hull Λ͠ࢉܭɼ. ରࣗʹΑΔഎܠͷःณؔͷΈ͕ѻΘΕΔɽ. ͜ΕΛ࠶Өͨ͠߹ʹݩͷγϧΤοτͱҰக͠ͳͯ͘. ͜ͷΑ͏ͳԾఆʹͱͮ͘جɼը૾ؒͷըૉʢ͑ݟʣͷൺ. ͳΒͳ͍ɼͱ͍͏੍Ͱ͋Δɽ͜ͷΑ͏ʹΩϟϦϒϨʔ. ֱʹΑΔࢹࠩਪఆ͕༗ޮʹಇͨ͘ΊʹεςϨΦ๏ [35][36]. γϣϯใΛར༻ͨ͠ଟࢹରྖҬͷಉ࣌ਪఆ๏͕ଟ͘. ͕ՄೳͱͳΓɼ·ͨରʹΑΔഎܠͷःณ͔ؔΒγϧ. ఏҊ͞Ε͍ͯΔ [27][28][29][30][31][32][33][34]ɽ. Τοτ͕ಘΒΕɼࢹମੵަࠩ๏ [37][38][39] ͕࣮ߦՄೳͱ ͳΔɽ. 2.3 ̏࣍ܗݩঢ়෮ݩ. ͜͏ͯ͠ଟࢹө૾͔Βਓͷ࣌ܗݩ࣍̏ྻܥঢ়Λ෮ݩ. ̏࣍ݩϏσΦʹ͓͚ΔࢉܭϞσϧɼຊདྷਤ 4 ͷΑ͏ʹ. ͢ΔڀݚɼରͷςΫενϟใΛ༻͍ΔΞϓϩʔν. ଟ༷ͳޫֶݱΛؚΉੈքͰ͋Δɽ͜Εʹରͯ̏࣍͠ܗݩ. ͱɼγϧΤοτใΛ༻͍ΔΞϓϩʔνͷ̎छྨ͔Βε. ঢ়෮ͯ͠ࡍʹݩ͜ΕΛ؆୯Խͨ͠ਤ 5 ͷΑ͏ͳϞσϧ͕. λʔτͨ͠ɽ۩ମతʹલऀ௨ৗͷεςϨΦ๏Λϕʔε. ͘Ծఆ͞ΕΔɽ͜ͷਤʹ͓͍ͯࣼΊͷֻ͚͕͞Εۣͨ. ʹɼ2.5 ࣍ܗݩঢ়ʢdepth-mapʣΛషΓ߹ΘͤΔ͜ͱͰશप. ܗ؆୯ԽͷͨΊʹແࢹ͞ΕͨޫֶݱΛද͠ɼԣઢͷ. ғ̏࣍ܗݩঢ়෮ݩΛߦͬͨ Kanade Βͷ[ ڀݚ2] ͱ 2.5 ࣍. ֻ͚͕͞Εͨԁطͱ͞ΕͨΧϝϥΩϟϦϒϨʔγϣϯ. ܗݩঢ়Λհͣ͞ʹ̏࣍ܗݩঢ়ΛٻΊΔ Seitz Βͷڀݚ. Λද͢ɽ·ͨփ৭ҹཧੈքͰͷੜաఔʢॱʣ. ʢvolumetric stereoʣ[40] ͕ɼऀޙࢹମੵަࠩ๏ͰಘΒΕ. *1. http://www.alphamatting.com/ ʹ [23] ͷϕϯνϚʔΫ͓Αͼ ͍͔ͭ͘ͷαϯϓϧίʔυ͕ެ։͞Ε͍ͯΔɼ. c 2013 Information Processing Society of Japan . Δ visual hull Λϕʔεʹͨ͠ Moezzi Βͷ[ ڀݚ1] ͕ɼڞ ʹ 90 ޙʹఏҊ͞Ε͍ͯΔɽ. 3.
(4) Vol.2013-CG-153 No.18 Vol.2013-CVIM-189 No.18 2013/11/29. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ·ͨ 2000 ʹೖΔͱςΫενϟใͱγϧΤοτ ใΛಉ࣌ʹ༻͍ΔΞϓϩʔν͕ଟ͘͞ڀݚΕΔΑ͏ʹͳͬ ͨ [41] [42] [4] [43] [44] [45] [46] [47] [48] [21] [10] [49] ɽ͜ ΕςΫενϟϚονϯάʹΑΔܗঢ়෮͕ݩʮࢹؒͷର. (a). Ԡ͚͕ܾ·Εରද໘ܗঢ়Λਖ਼͖͘͠ͰࢉܭΔ͕ɼࢹ ؒͷରԠ͚Λৗʹਖ਼͘͠ߦ͏͜ͱ༰қͰͳ͍ʯͱ ͍͏ಛΛ༗͍ͯ͠Δͷʹରͯ͠ɼγϧΤοτΛ༻͍ͨܗ ঢ়෮ݩʮରͷ֓ܗʢvisual hullʣ͔͠·ٻΒͳ͍͕ɼࢹ ؒͷରԠ͚͕ෆཁͰൺֱత҆ఆʹܗঢ়͕·ٻΔʯͱ͍ ͏૬ิతͳؔΛ͍࣋ͬͯΔͱ͍͏ੳʹ͍͍ͯͮجΔɽ ͢ͳΘͪɼ·ͣଟࢹγϧΤοτ͔Β visual hull ͱͯ͠. (b). ʮର͕ඞͣଘࡏ͢ΔൣғʯΛ҆ఆʹٻΊɼ͍࣍Ͱ͜ͷൣғ ͰςΫενϟͷҰகʢphoto-consistencyʣΛ࠷େԽ͢. ਤ 6. (c). (d). ̏࣍ݩϏσΦ͔Βͷ͓إΑͼࢹઢํਪఆ [60]ɽ(a) ೖྗଟࢹ. Δܗঢ়ʢphoto hullʣΛٻΊΔɼͱ͍͏ߟ͑ํͰ͋Δʢਤ. ө૾ɼ(b) ෮͞ݩΕͨ̏࣍ܗݩঢ়্Ͱݕग़͞ΕͨྖإҬɼ(c). 2ʣɽ. ྖإҬͷղ૾ϨϯμϦϯάɼ(d) ࢹઢํਪఆɽ. ·্ͨهͷΑ͏ʹ̍࣌ࠁͷ̏࣍ܗݩঢ়ΛಠཱʹٻΊΔͩ ͚Ͱͳ͘ɼෳ࣌ࠁͷܗঢ়Λಉ࣌ʹ෮͢ݩΔํ๏ [50][51]. ͞Βʹܗঢ়෮ݩΧϝϥͷ෦ɾ֎෦ΩϟϦϒϨʔγϣ. ɼ͋Δ࣌ࠁʹ͓͚Δରܗঢ়Λ·ͣ෮͠ݩɼ͜ΕΛΩʔ. ϯʹޡΓ͕ଘࡏ͢Δͱͱ͢ͳݟɼඍখྖҬͷࡱӨΧϝϥ. ϑϨʔϜͱͯ͠ྡ͢Δ࣌ࠁͷܗঢ়ͱஞ࣍ม͢ܗΔ͜ͱ. ͷӨઌ͕زԿతʹͣΕ͍ͯΔ͜ͱΛߟྀ͠ͳͯ͘ͳΒ. Ͱܗঢ়ͱӡಈΛಉ࣌ʹ෮͢ݩΔํ๏ [52][53] ͷΑ͏ʹ̏࣍. ͳ͍ɽ͜ͷҐஔͣΕΛԾࢹҐஔʹԠͯ͡దԠతʹमਖ਼. ܗݩঢ়ͱಉ࣌ʹӡಈΛਪఆ͢Δख๏͞ڀݚΕ͍ͯΔɽ. ͢Δํ๏ͱͯ͠ɼFloating Texture Mappting ๏ [54] Ͱ ݸผͷ࣮Χϝϥը૾͚ͩΛ༻ͯ͠ϨϯμϦϯάͨ͠ը૾. 2.4 ςΫενϟੜ. Λ༻ҙͯ͠ɼͦΕΒͷؒͷΦϓςΟΧϧϑϩʔΛͯ͠ࢉܭ. ͜͜·Ͱͷ࣌Ͱɼରਓͷ̏࣍ݩද໘ܗঢ়Λ֫ಘ͢. ิؒը૾Λੜ͠ɼҰํͰ Harmonized Texture Mapping. Δ͜ͱ͕Ͱ͖ͨͨΊɼ࠷ͦʹޙͷද໘ςΫενϟΛܗঢ়෮. ๏ [55] Ͱ࣮Χϝϥը૾ΛదԠతʹมͤ͞ܗΔ͜ͱͰҐஔ. ͍ͨ༻ʹݩଟࢹө૾͔Βੜ͢Δɽ͜͜ͰॏཁͱͳΔͷ. ͣΕͷແ͍ߴਫ਼ࡉςΫενϟΛੜ͢Δɽ·ͨԾࢹҐ. ɼ֤ද໘ྖҬΛࡱӨ͍࣮ͯͨ͠ࢹෳଘࡏ͢Δͱ͍. ஔʹԠͯ͡ɼదԠతʹ̏࣍ܗݩঢ়Λ࠷దԽ͢Δ͜ͱͰϨϯ. ͏ͱɼ̏࣍ݩϏσΦͷදࣔʹࡍͯ͠ʮͲͷࢹ͔Βද. μϦϯά࣭ͷ্ΛਤΔ͜ͱͰ͖Δ [56]ɽ. ࣔ͢Δͷ͔ʯΛද͢Ծࢹͱ͍͏֓೦͕ՃΘΔͱ͍͏ ˆ ʣɽ Ͱ͋Δʢਤ 4 ͷ C. ରද໘ͷςΫενϟͲͷࢹʹΑΔࡱӨ૾͔Βੜ͠. ·ͣɼରਓͷ̏࣍ݩද໘ܗঢ়্ͷඍখྖҬʹɼͦ. ͯҰக͢ΔͣͰ͋Γɼਖ਼͘͠ CG ͱಉ༷ͷɼ̍ϙϦΰ. ( ه্ʹٯ1) ͔Β (4) ͍ͣΕΓཱͭͱԾఆ͢Δͱɼ. ΕΛ؍ଌՄೳͳΧϝϥ͕Ұൠʹෳଘࡏ͢Δͱ͑ݴΔɽ͜. ϯʹ͖ͭ̍ຕͷςΫενϟը૾Λੜ͢Δ͜ͱ͕Ͱ͖Δɽ. ͜ͰͦͷΑ͏ͳඍখྖҬΛ؍ଌՄೳΧϝϥͦΕͧΕͱ. ·ͨ͜ͷͱ͖ɼෳࢹʹΑΔࡱӨ૾͋Δڞ௨ͷද໘ς. Өͨ͠ͱ͖ʹɼӨઌͰͷըૉ͕Ұக͢Δͷ. ΫενϟΛҟͳΔ֨ࢠͰαϯϓϦϯάͨ݁͠ՌͰ͋Δͱ. ( 1 ) ඍখྖҬͷ̏࣍ܗݩঢ়͕શʹਖ਼͘͠ɼ. ͖Ͱ͕ͱ͜͢ͳݟΔɽ͜ͷͨΊԾࢹϨϯμϦϯάͷࡍ. ( 2 ) ඍখྖҬ͕શ֦ࢄ໘ʢLambertian surfaceʣͰ͋Γɼ. ʹղ૾ॲཧΛߦ͏ख๏ [57] ɼରද໘্Ͱղ૾ॲཧ. ( 3 ) Χϝϥͷ෦ɾ֎෦ύϥϝʔλਪఆʹ͕ࠩޡແ͘ɼ. Λߦ͏ख๏ [58] ͕ఏҊ͞Ε͍ͯΔɽ. ( 4 ) ֤Χϝϥͷޫ͕ײશʹҰக͍ͯ͠Δ. ·ͨߴҐϨϯμϦϯάͱٯͷઃఆͱͯ͠ɼԾʹ. ͱ͍͏ཧతͳ߹ʹݶΒΕɼ͜ͷ͍ͣΕཱ͔͕͠ͳ͍. ্( ه4) ͷΈ͕Γཱͨͳ͍ͱԾఆ͢ΔͳΒɼ֤ࢹͰ. ߹ࢹؒͰըૉ͕Ұக͠ಘͳ͍ɽ. ͷըૉͷࠩҟΧϝϥͷޫײͷࠩʹىҼ͍ͯ͠Δͱ. ͜ͷΑ͏ͳߟ͑ʹͱͮ͘جɼԾʹ (2) ͷΈཱ͕͠ͳ͍ ͱԾఆͨ͠߹ɼըૉͷࠩରද໘ͷ non-Lambertian ͳࣹಛੑɼ͢ͳΘͪͦͷද໘ͷํґଘͳ͑ݟͷมԽΛ. ͖Ͱ͕ͱ͜͢ͳݟΔɽ͜ͷ͜ͱΛར༻ͯ͠ɼΧϝϥͷޫ ײΛΩϟϦϒϨʔγϣϯ͢Δख๏ఏҊ͞Ε͍ͯΔ [59]ɽ. ه͍ͯ͠Δͱ͑ݴΔɽͦͷͨΊ̏࣍ݩϏσΦͷදࣔʹࡍ. 3. Ԡ༻ྫ. ͯ͠ɼԾࢹʹΑΓ͍࣮ۙࢹ͔Β༏ઌతʹςΫε. 3.1 ̏࣍ࢹݩઢํਪఆ͓ΑͼҰਓশࢹө૾ੜ. νϟΛੜ͢ΕɼΑΓ࣮ࣸʹ͍ۙϨϯμϦϯά͕Մೳͱ. લड़ͷΑ͏ʹɼ̏࣍ݩϏσΦͷಛରͷ̏࣍ܗݩঢ়. ͳΔͱظ͞ΕΔɽ͜ͷߟ͑ํࢹґଘϨϯμϦϯάͱ. Λཅʹਪఆ͢ΔͰ͋Γɼ͜ΕΛͯ͠༻׆ඃࣸମͷإͷ̏. ݺΕΔ [4][10]ɽ. ࣍ݩҐஔΛਪఆ͠ʢਤ 6(b) ഽ৭ྖҬʣɼ͞ΒʹͦͷྖإҬ. c 2013 Information Processing Society of Japan . 4.
(5) Vol.2013-CG-153 No.18 Vol.2013-CVIM-189 No.18 2013/11/29. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ਤ 8 ෳࡶͳਓ࢟ͷਪఆ [61]ɽ্ஈɿೖྗը૾ͷҰ෦ɼԼஈɿ෮ ͞ݩΕͨܗঢ়ʢփ৭ʣͱɼਪఆ͞Εͨࠎ֨࢟ʢ৭ʣ ɽ ਤ 9. ෳਓͷΠϯλϥΫγϣϯΠϕϯτฤू [72]. ͷਖ਼໘ʹԾΧϝϥΛஔ͘͜ͱͰԾਖ਼໘إը૾ʢਤ 6(c)ʣ Λ࡞͢Δ͜ͱ͕Ͱ͖Δɽ͜͏ͯ͠ಘΒΕͨਖ਼໘إը૾͔ ΒಏΛݕग़ͯ͠ࢹઢํΛਪఆ͢Δ͜ͱͰɼඇ߆ଋɾඇ ৮Ͱରʹࣗ༝ͳӡಈΛࢹݩ࣍̏ͨ͠ڐઢํਪఆ͕࣮ݱ Ͱ͖Δ [60]ɽ ·ͨߋʹɼಘΒΕͨإҐஔͱࢹઢํʹҰக͢ΔΑ͏ʹ ϨϯμϦϯά༻ͷԾࢹΛઃఆ͢Δͱɼਤ 7 ͷΑ͏ʹඃ. (a). ࣸମ͕͍ࣗͨͯݟΑ͏ͳҰਓশࢹͷө૾Λੜ͢Δ͜. (b). ͱՄೳͰ͋Δɽ. 3.2 ̏࣍ݩӡಈਪఆ. (c). (e). (d). (f). ํ๏ʹେผ͞Εɼલऀ֤࣌ࠁͷܗঢ়ಉ࢜Λൺֱ͠ɼ̏࣍. (g). (h). (i). (j). ݩද໘্Ͱʹ͍ޓରԠ͢ΔΛٻΊΔ͜ͱͰӡಈΛٻΊΔ. ਤ 10. ਓͷ̏࣍ݩϏσΦɼ͢ͳΘͪରͷ࣌ܗݩ࣍̏ྻܥঢ় ͱςΫενϟ͕ಘΒΕͨͱԾఆ্ͨ͠Ͱɼରͷ̏࣍ݩӡ ಈΛਪఆ͢Δ͕ڀݚଟ͘ͳ͞Ε͍ͯΔɽ͜ΕΒҰൠʹ. (1) Ϛονϯάʹํͮ͘ج๏ͱ (2) τϥοΩϯάʹͮ͘ج ෳਓͷΠϯλϥΫγϣϯΠϕϯτฤू݁Ռ [72]. ख๏Ͱ͋Γɼඞͣ͠࿈ଓ͢Δ࣌ࠁؒͰϚονϯά͢Δඞ ཁ͕ͳ͍ʹಛ͕͋Δ [62] [63] [64] [65]ɽ ҰํऀޙΩʔϑϨʔϜϝογϡϞσϧͷมܗʢϝο γϡτϥοΩϯάʣΛஞ࣍తʹ܁Γฦ͢͜ͱͰӡಈΛٻΊ Δख๏Ͱ͋Δ [66] [67]ɽ͞ΒʹɼΩʔϑϨʔϜϝογϡϞ σϧʹࠎ֨ߏΛຒΊࠐΈɼϝογϡมܗΛࠎ֨ӡಈͰه ड़͢Δ͜ͱͰਓͷଟؔઅ߶ମͱͯ͠ͷӡಈΛਪఆ͢Δݚ ڀߦΘΕ͍ͯΔ [68][69][70][61][71]ɽྫ͑ [61] Ͱ̏ ࣍ݩϏσΦʹಛతͳɼΦΫϧʔδϣϯʹΑΔ phantom. ਤ 11. ෳਓͷΠϯλϥΫγϣϯΠϕϯτฤू݁ՌͷҰਓশࢹ ϨϯμϦϯά [72]. volume ɼܗঢ়෮ݩͷᐆດ͞ʹىҼ͢Δܗঢ়ͷޡΓΛߟ ɼ·ͨ [71] Ͱ͍ޓ ྀͨ͠ӡಈਪఆ͕ߦΘΕ͓ͯΓʢਤ 8ʣ ΛΧϝϥ͔Βःณ͢ΔΑ͏ͳҐஔؔʹ͋Δෳਓͷӡ ಈΛಉ࣌ʹਪఆ͢Δ͜ͱʹऔΓ·Ε͍ͯΔɽ. c 2013 Information Processing Society of Japan . 3.3 ෳਓͷΠϯλϥΫγϣϯΠϕϯτฤू ෳਓʹΑΔΠϯλϥΫγϣϯʢྫ͑ѲखͳͲʣΛ ̏࣍ݩϏσΦͰࡱӨ͢Δࡍʹɼରਓ͕ࡱʹ͍ޓӨΧ. 5.
(6) Vol.2013-CG-153 No.18 Vol.2013-CVIM-189 No.18 2013/11/29. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. (a). (b) ਤ 7. (c). Ұਓশࢹө૾ੜ [60]ɽ(a) ೖྗଟࢹө૾ɼ(b) ࡾਓশࢹϨϯμϦϯάɼ(c) Ұਓ শࢹϨϯμϦϯάɽ. ϝϥ͔Β૬खΛःณͯ͠͠·͍ɼ͔͍߹͏໘͕ͲͷΧϝ ϥ͔Β؍ଌ͞Εͳ͍߹͕ੜ͡Δɽ͜ͷΑ͏ͳྖҬͰ ܗঢ়͕ෆશͱͳΓɼ·ͨςΫενϟ͕ಘΒΕͳ͍ͨΊɼ ϨϯμϦϯά࣌ͷө૾࣭ͷྼԽ͕ආ͚ΒΕͳ͍ɽ ͜ͷΛղܾ͢ΔҰͭͷख๏ͱͯ͠ɼͦΕͧΕͷಈ࡞ Λݸผʹ̏࣍ݩϏσΦࡱӨ͠ɼͦʹޙΕΒΛ౷߹͢ΔΞϓ ϩʔν͕ߟ͑ΒΕΔʢਤ 9ʣ͕ɼ͜ͷ߹ͦΕͧΕͷਓ ͕͔͋ͨ૬ख͕ଘࡏ͢Δ͔ͷΑ͏ʹৼΔ͏ඞཁ͕͋ ΔͨΊʹɼಈ࡞λΠϛϯάҐஔͷͣΕ͕ൃੜ͢Δɽ ͦ ͜ Ͱ զ ʑ Augmented Motion History Volume. (aMHV) ͱݩ࣍̏ͿݺϏσΦதͷӡಈهड़๏ͱɼaMHV ಉ ࢜ͷΈ߹Θͤํʹ͍ͨͮجΠϯλϥΫγϣϯΠϕϯτͷ ྨɼͦͯ͠ aMMV ͷΈ߹ΘͤʹԠͯ͡దʹಈ࡞λ ΠϛϯάɾҐஔͷͣΕΛमਖ਼͠ͳ͕Β౷߹͢Δख๏Λ։ൃ ͨ͠ [72]ɽ͜ͷख๏ͷಛɼਤ 10(a), (b) ͷΑ͏ʹࠎ֨ ӡಈʹΑΔରද໘ܗঢ়ͷӡಈهड़͕ࠔͳ߹Ͱ͋ͬͯ ɼ̏࣍ݩϏσΦ͕ͱͱ࣋ͭ̏࣍ݩද໘ܗঢ়ͷΈΛ༻ ͍ͨ aMHV ʹΑͬͯӡಈهड़͢Δɼͦͯ͠ aMHV Λ ॲཧ୯Ґͱͨ͠ฤूΞϧΰϦζϜΛఆٛͨ͠Ͱ͋Δɽ ͜ͷख๏ʹΑΔฤू݁ՌΛਤ 10 ʹࣔ͢ɽಉਤ (a) ͓Αͼ. (b) ͕ଟࢹө૾ͷҰྫͰ͋Γɼಉਤ (c)ʙ(f) ͕ݸผʹੜ ͞Εͨ̏࣍ݩϏσΦΛ୯७ʹ߹ͨ݁͠ՌͰ͋Δɽ͜͜ Ͱ (d) ͓Αͼ (e) Ͱಉ͕࣮࢜ࡍଧͪ߹͍ͬͯΔͣ ͕ɼ߹݁ՌͰۭ͕ܺଘࡏ͓ͯ͠Γɼ·ͨ (f) ͰҰํ ͕ଞํΛ͍ͬͯΔ͕ͣɼ߹݁ՌͰ͕ಧ͍͍ͯͳ ͍ɽ͜Εʹରͯ͠ [72] ʹΑΔฤूͰɼಉਤ (g)ʙ(j) ʹࣔ ͢Α͏ʹɼ͍ͣΕಈ࡞ͷҙਤ௨Γͷ݁Ռ͕ಘΒΕ͍ͯΔɽ ·ͨ͜͏ͯ͠ಘΒΕͨฤू݁ՌΛલड़ͷख๏ [60] ʹΑΓ ͦΕͧΕͷԋऀͷࢹ͔ΒϨϯμϦϯάͨ͠ྫΛਤ 11 ʹ ࣔ͢ɽ͍߹͍͔ʹ͍ޓɼ૬ʹޓΧϝϥ͔Β૬खΛःณ͢. c 2013 Information Processing Society of Japan . ਤ 12. ਫதମͷࢹମੵަࠩ๏ʹΑΔ࣮࣌ؒܗঢ়෮[ ݩ73]ɽࠨɿࡱ Өڥɼதԝɿೖྗը૾ɼӈɿ̏࣍ܗݩঢ়ɽ. Δঢ়͋ͰگΔ͕ɼదʹςΫενϟ͕ੜͰ͖͍ͯΔ͜ͱ ͕֬ೝͰ͖Δɽ. 4. ·ͱΊ ຊߘͰ̏࣍ݩϏσΦੜͷجຊతͳΞϧΰϦζϜ͓Α ͼΞϓϦέʔγϣϯΛɼؔ࿈ʹڞͱڀݚհͨ͠ɽࠓޙͷ ՝ (1) ΫϩϚΩʔഎͲͳܠΛ࣋ͨͳ͍࣮ੈքͰͷ̏࣍ ݩϏσΦੜΛ࣮͢ݱΔ͜ͱͱɼ(2) ਤ 4 ͓Αͼਤ 5 ʹࣔ͠ ͨΑ͏ʹɼࡏݱͷٕज़ͰѻΘΕ͍ͯͳ͔ͬͨޫֶݱͰ ͋Δ۶ંɾࣹɾࢄཚͳͲΛ໌ࣔతʹϞσϧԽ͠ɼ̏࣍ݩϏ σΦͱͯ͠ࡱӨՄೳͳରͷΫϥεΛΑΓ͘͢Δ͜ͱ͕ ͛ڍΒΕΔɽͦͷͨΊࡏݱචऀΒΞΫΞϏδϣϯͱ͠ ͯɼ͜ͷΑ͏ͳޫֶݱ͕ΑΓݦஶʹ؍ଌ͞ΕΔਫதମ ͷ̏࣍ܗݩঢ়ɾӡಈ෮ʹݩऔΓΈ࢝Ί͓ͯΓ [74][75][73] ʢਤ 12ʣ ɼࠓޙಁ໌ମͳͲѻ͑ΔΑ͏ʹڀݚΛਐΊ Δ͜ͱΛܭը͍ͯ͠Δɽ ँࣙɹࠒΑΓৗʹ͝ࢦಋΛ͍͍ͯΔদࢁོ࢘ڭतΛ ͡Ίɼژେֶদࢁ֤ؔࣨڀݚҐʹ৺ΑΓँײਃ্͛͠ ·͢ɽ·ͨຊߘͷ༰ Inria ͱͷ JSPS ೋࠃؒަྲྀࣄ ڞۀಉڀݚɼNTT ϝσΟΞΠϯςϦδΣϯεͱॴڀݚͷ ڞಉڀݚɼจՊলҕୗࣄۀʮେܕ༗ܗɾແܗจԽࡒͷߴਫ਼ σδλϧԽιϑτΣΞͷ։ൃʯ ɼJSPS Պݚඅʢ՝൪. 6.
(7) Vol.2013-CG-153 No.18 Vol.2013-CVIM-189 No.18 2013/11/29. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. ߸ 21700194, 23700204, 25540068ʣ ɼJST CRESTʮөը੍. [20]. ࡞Λࢧԉ͢Δෳ߹ܕ࣮ݱՄࢹԽٕज़ʯ ɼ૯ল SCOPEʮ จԽৼڵΛతͱ࣮ͨࣸ̏࣍͠ݩө૾ͷΠϯλʔωοτ. [21]. ৴ٕज़ͷڀݚ։ൃʯʹΑΔͷͰ͢ɽ ࢀߟจݙ [1]. [2]. [3] [4]. [5]. [6]. [7]. [8]. [9]. [10]. [11]. [12] [13] [14] [15] [16] [17]. [18]. [19]. Moezzi, S., Tai, L.-C. and Gerard, P.: Virtual View Generation for 3D Digital Video, IEEE Multimedia, pp. 18– 26 (1997). Kanade, T., Rander, P. and Narayanan, P. J.: Virtualized Reality: Constructing Virtual Worlds from Real Scenes, IEEE Multimedia, pp. 34–47 (1997). Matsushita, T., Nobuhara, S., Takai, T. and Tung, T.: 3D Video and Its Applications, Springer-Verlag (2012). Matsuyama, T., Wu, X., Takai, T. and Nobuhara, S.: Real-Time 3D Shape Reconstruction, Dynamic 3D Mesh Deformation and High Fidelity Visualization for 3D Video, CVIU, Vol. 96, pp. 393–434 (2004). Starck, J. and Hilton, A.: Surface Capture for Performance Based Animation, IEEE Computer Graphics and Applications, Vol. 27(3), pp. 21–31 (2007). Franco, J.-S. and Boyer, E.: Efficient Polyhedral Modeling from Silhouettes, IEEE TPAMI, Vol. 31, No. 3, pp. 414 –427 (2009). Goldlucke, B., Ihrke, I., Linz, C. and Magnor, M.: Weighted Minimal Hypersurface Reconstruction, IEEE TPAMI, Vol. 29, No. 7, pp. 1194 –1208 (online), DOI: 10.1109/TPAMI.2007.1146 (2007). Smolic, A., M¨ uller, K., Merkle, P., Fehn, C., Kauff, P., Eisert, P. and Wiegand, T.: 3D Video and Free Viewpoint Video Technologies, Applications and MPEG Standards, Proc. of IEEE International Conference on Multimedia and Expo, pp. 2161–2164 (2006). Carranza, J., Theobalt, C., Magnor, M. A. and Seidel, H.-P.: Free-Viewpoint Video of Human Actors, ACM Transactions on Computer Graphics, Vol. 22, No. 3 (2003). Hisatomi, K., Tomiyama, K., Katayama, M. and Iwadate, Y.: Method of 3D reconstruction using graph cuts, and its application to preserving intangible cultural heritage, IEEE Workshop on eHeritage and Digital Art Preservation, pp. 923 –930 (2009). Guillemaut, J. Y., Hilton, A., Starck, J., Kilner, J. and Grau, O.: A Bayesian Framework for Simultaneous Matting and 3D Reconstruction, Proc. of 3DIM, pp. 167–176 (2007). 4D View Solutions: 4DV Capture, Grenoble, France. Microsoft: Kinect (2010). Creative Technology Ltd.: Creative Senze3D. PMDTechnologies GmbH: CamBoard pico. Softkinetic: DS325. Ikeuchi, K., Oishi, T., Takamatsu, J., Sagawa, R., Nakazawa, A., Kurazume, R., Nishino, K., Kamakura, M. and Okamoto, Y.: The Great Buddha Project: Digitally Archiving, Restoring, and Analyzing Cultural Heritage Objects, IJCV, Vol. 75, pp. 189–208 (2007). Fujii, T., Kimoto, T. and Tanimoto, M.: Ray Space Coding for 3D Visual Communication, 19th International Picture Coding Symposium, pp. 447–451 (1996). Takahashi, K. and Naemura, T.: Super-Resolved FreeViewpoint Image Synthesis Based on View-Dependent Depth Estimation, IPSJ Transactions on Computer Vision and Applications, Vol. 4, pp. 134–148 (2012).. c 2013 Information Processing Society of Japan . [22]. [23]. [24] [25]. [26]. [27]. [28]. [29]. [30]. [31]. [32]. [33]. [34]. [35] [36]. [37]. [38]. [39]. Nobuhara, S., Yoshimoto, H., Nakayama, H., Tung, T., Takai, T. and Matsuyama, T.: On-Site 3D Video Capture System, ICCV 2009 Demo (2009). Starck, J., Maki, A., Nobuhara, S., Hilton, A. and Matsuyama, T.: The Multiple-Camera 3-D Production Studio, IEEE TCSVT, Vol. 19, No. 6, pp. 856 –869 (2009). Yamaguchi, T., Yoshimoto, H., Nobuhara, S. and Matsuyama, T.: Cell-based 3D Video Capture of a Freelymoving Object Using Multi-viewpoint Active Cameras, IPSJ Transactions on Computer Vision and Applications, Vol. 2, pp. 169–184 (2010). Rhemann, C., Rother, C., Wang, J., Gelautz, M., Kohli, P. and Rott, P.: A Perceptually Motivated Online Benchmark for Image Matting, Proc. of CVPR, pp. 1826–1833 (2009). Sun, J., Zhang, W., Tang, X. and yeung Shum, H.: Background cut, Proc. of ECCV, pp. 628–641 (2006). ੴതɿʵ CVIM νϡʔτϦΞϧγϦʔζʵίϯϐϡʔ λϏδϣϯ ࠷ઌΨΠυ̍ ୈ 2 ষάϥϑΧοτɼΞυί ϜϝσΟΞ (2008). Sarim, M., Hilton, A., Guillemaut, J. Y., Takai, T. and Kim, H.: Natural image matting for multiple widebaseline views, Proc. of ICIP, pp. 2233–2236 (2010). Zeng, G. and Quan, L.: Silhouette Extraction from Multiple Images of an Unknown Background, Proc. of ACCV, pp. 628–633 (2004). Nobuhara, S., Tsuda, Y., Ohama, I. and Matsuyama, T.: Multi-viewpoint Silhouette Extraction with 3D Contextaware Error Detection, Correction, and Shadow Suppression, IPSJ Transactions on Computer Vision and Applications, Vol. 1, pp. 242–259 (2009). Campbell, N., Vogiatzis, G., Hernandez, C. and Cipolla, R.: Automatic 3D object segmentation in multiple views using volumetric graph-cuts, Image and Vision Computing, Vol. 28, No. 1, pp. 14 – 25 (2010). Sarim, M., Hilton, A., Guillemaut, J.-Y., Kim, H. and Takai, T.: Wide-baseline multi-view video segmentation for 3D reconstruction, Proceedings of the 1st international workshop on 3D video processing, pp. 13–18 (2010). Guillemaut, J.-Y. and Hilton, A.: Joint Multi-Layer Segmentation and Reconstruction for Free-Viewpoint Video Applications, IJCV, Vol. 93, No. 1, pp. 73–100 (2011). Ԇݪষฏɼদࢁོ࢘ɼখ܉ɼদӜએɿଟࢹը૾Λ༻ ͍ͨෳࡶڥԼʹ͓͚Δ̏࣍ܗݩঢ়ɾରྖҬͷಉ࣌ਪ ఆɼୈ 14 ճը૾ͷೝࣝɾཧղγϯϙδϜ (2011). Djelouah, A., Franco, J.-S., Boyer, E., Leclerc, F. and P´erez, P.: N-Tuple Color Segmentation for Multi-View Silhouette Extraction, Proc. of ECCV (2012). Djelouah, A., Franco, J.-S., Boyer, E., Le Clerc, F. and P´erez, P.: Multi-View Object Segmentation in Space and Time, Proc. of ICCV (2013). Okutomi, M. and Kanade, T.: A locally adaptive window for signal matching, IJCV, Vol. 7, pp. 143–162 (1992). Scharstein, D. and Szeliski, R.: A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms, IJCV, Vol. 47, pp. 7–42 (2002). Baumgart, B. G.: A polyhedron representation for computer vision, Proceedings of the National Computer Conference and Exposition, AFIPS ’75, pp. 589–596 (1975). Martin, W. N. and Aggarwal, J. K.: Volumetric description of objects from multiple views, IEEE TPAMI, Vol. 5(2), pp. 150–158 (1983). Laurentini, A.: The visual hull concept for silhouette-. 7.
(8) Vol.2013-CG-153 No.18 Vol.2013-CVIM-189 No.18 2013/11/29. ใॲཧֶձڀݚใࠂ IPSJ SIG Technical Report. [40]. [41]. [42]. [43]. [44]. [45]. [46]. [47]. [48] [49]. [50] [51]. [52]. [53]. [54]. [55] [56] [57]. [58]. [59]. [60]. based image understanding, IEEE TPAMI, Vol. 16, No. 2, pp. 150 –162 (1994). Seitz, S. and Dyer, C.: Photorealistic Scene Reconstruction by Voxel Coloring, IJCV, Vol. 25, No. 3, pp. 151–173 (1999). Isidoro, J. and Sclaroff, S.: Stochastic Mesh-Based Multiview Reconstruction, Proc. of 3DPVT, pp. 568–577 (2002). Cheung, K. M., Baker, S. and Kanade, T.: Visual Hull Alignment and Refinement Across Time: A 3D Reconstruction Algorithm Combining Shape-From-Silhouette with Stereo, Proc. of CVPR, pp. 375–382 (2003). Esteban, C. H. and Schmitt, F.: Silhouette and stereo fusion for 3D object modeling, CVIU, Vol. 96, pp. 367–392 (2004). Sinha, S. N. and Pollefeys, M.: Multi-View Reconstruction Using Photo-consistency and Exact Silhouette Constraints: A Maximum-Flow Formulation, Proc. of ICCV, pp. 349–356 (2005). Starck, J., Hilton, A. and Miller, G.: Volumetric stereo with silhouette and feature constraints, Proc. of BMVC, pp. 1189–1198 (2006). Tran, S. and Davis, L.: 3D Surface Reconstruction Using Graph Cuts with Surface Constraints, Proc. of ECCV, Vol. 3952, pp. 219–231 (2006). Sinha, S., Mordohai, P. and Pollefeys, M.: Multi-View Stereo via Graph Cuts on the Dual of an Adaptive Tetrahedral Mesh, Proc. of ICCV, pp. 1 –8 (2007). Furukawa, Y. and Ponce, J.: Carved Visual Hulls for Image-Based Modeling, IJCV, Vol. 81, pp. 53–67 (2009). Cremers, D. and Kolev, K.: Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains, IEEE TPAMI, pp. 1161–1174 (2010). Vedula, S., Baker, S., Seitz, S. and Kanade, T.: Shape and Motion Carving in 6D, Proc. of CVPR (2000). Goldl¨ uecke, B. and Magnor, M.: Space-Time Isosurface Evolution for Temporally Coherent 3D Reconstruction, Proc. of CVPR, pp. 350–355 (2004). Nobuhara, S. and Matsuyama, T.: Heterogeneous Deformation Model for 3D Shape and Motion Recovery from Multi-Viewpoint Images, Proc. of 3DPVT, pp. 566–573 (2004). Furukawa, Y. and Ponce, J.: Dense 3D motion capture from synchronized video streams, Proc. of CVPR, pp. 1 –8 (2008). Eisemann, M., De Decker, B., Magnor, M., Bekaert, P., de Aguiar, E., Ahmed, N., Theobalt, C. and Sellent, A.: Floating Textures, Proc. of EUROGRAPHICS, Vol. 27, No. 2, pp. 409–418 (2008). Takai, T., Hilton, A. and Matsuyama, T.: Harmonised Texture Mapping (2010). ߴҪ༐ࢤɼԆݪষฏɼాลଠҰɼদࢁོ࢘ɼখ܉ɿࢹ ґଘܗঢ়࠷దԽʹΑΔߴਫ਼ࡉࣗ༝ࢹը૾ੜ (2012). Tung, T., Nobuhara, S. and Matsuyama, T.: Simultaneous super-resolution and 3D video using graph-cuts, Proc. of CVPR, pp. 1–8 (2008). Goldl¨ uecke, B. and Cremers, D.: Superresolution texture maps for multiview reconstruction, Proc. of ICCV, pp. 1677–1684 (2009). Nobuhara, S., Kimura, Y. and Matsuyama, T.: ObjectOriented Color Calibration of Multi-viewpoint Cameras in Sparse and Convergent Arrangement, IPSJ Transactions on Computer Vision and Applications, Vol. 2, pp. 132–144 (2010). Qun, S., Shohei, N. and Takashi, M.: 3D Face Recon-. c 2013 Information Processing Society of Japan . [61]. [62]. [63]. [64]. [65]. [66]. [67]. [68]. [69]. [70]. [71]. [72]. [73]. [74]. [75]. struction and Gaze Estimation from Multi-view Video using Symmetry Prior, IPSJ Transactions on Computer Vision and Applications, Vol. 4, pp. 149–160 (2012). Ԇݪষฏɼٶຊ৽ɼদࢁོ࢘ɿ̏࣍ܗݩঢ়ܭଌʹ͓͚Δෆ શੑͷϞσϧԽʹ͍ͨͮجෳࡶͳਓಈ࡞ͷਪఆɼిࢠ ใ௨৴ֶձจࢽ DɼVol. J92-D, No. 12, pp. 2225–2237 (2009). Starck, J. and Hilton, A.: Correspondence labelling for wide-timeframe free-form surface matching, Proc. of ICCV, pp. 1 –8 (2007). Mateus, D., Horaud, R., Knossow, D., Cuzzolin, F. and Boyer, E.: Articulated shape matching using Laplacian eigenfunctions and unsupervised point registration, Proc. of CVPR, pp. 1 –8 (2008). Zaharescu, A., Boyer, E., Varanasi, K. and Horaud, R.: Surface feature detection and description with applications to mesh matching, Proc. of CVPR, pp. 373 –380 (2009). Tung, T. and Matsuyama, T.: Dynamic surface matching by geodesic mapping for 3D animation transfer, Proc. of CVPR, pp. 1402–1409 (2010). Varanasi, K., Zaharescu, A., Boyer, E. and Horaud, R.: Temporal Surface Tracking Using Mesh Evolution, Proc. of ECCV, Vol. 5303, pp. 30–43 (2008). Cagniart, C., Boyer, E. and Ilic, S.: Free-form mesh tracking: A patch-based approach, Proc. of CVPR, pp. 1339 –1346 (2010). Menier, C., Boyer, E. and Raffin, B.: 3D Skeleton-Based Body Pose Recovery, Proc. of 3DPVT, pp. 389 –396 (2006). Mukasa, T., Miyamoto, A., Nobuhara, S., Maki, A. and Matsuyama, T.: Complex human motion estimation using visibility, Proc. of FG, pp. 1 –6 (2008). Horaud, R., Niskanen, M., Dewaele, G. and Boyer, E.: Human Motion Tracking by Registering an Articulated Surface to 3D Points and Normals, IEEE TPAMI, Vol. 31, No. 1, pp. 158 –163 (2009). Liu, Y., Gall, J., Stoll, C., Dai, Q., Seidel, H.-P. and Theobalt, C.: Markerless Motion Capture of Multiple Characters Using Multiview Image Segmentation, IEEE TPAMI, Vol. 35, No. 11, pp. 2720–2735 (2013). Shi, Q., Nobuhara, S. and Matsuyama, T.: Augmented Motion History Volume for Spatiotemporal Editing of 3D Video in Multi-party Interaction Scenes, International Conference on 3D Vision (3DV), pp. 414–421 (2013). Yano, T., Nobuhara, S. and Matsuyama, T.: 3D Shape from Silhouettes in Water for Online Novel-view Synthesis, IPSJ Transactions on Computer Vision and Applications, Vol. 5, pp. 65–69 (2013). ݪ྅ɼԆݪষฏɼদࢁོ࢘ɿਫதࡱӨͷͨΊͷըૉґଘ ܕόϦϑΥʔΧϧΧϝϥϞσϧɼڀݚใࠂίϯϐϡʔλ ϏδϣϯͱΠϝʔδϝσΟΞɼNo. 2013-CVIM-187(11), pp. 1–8 (2013). ଜਅҥɼԆݪষฏɼদࢁོ࢘ɿطഎܠͷ۶ં૾Λ༻͍ ͨಁ໌ଟ໘ମͷ 3 ࣍ܗݩঢ়෮ݩɼڀݚใࠂίϯϐϡʔλ ϏδϣϯͱΠϝʔδϝσΟΞɼNo. 2013-CVIM-187(12), pp. 1–8 (2013).. 8.
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