»O¥_¬ì¤j±M§Q§ÞÂà¹q¤l³ø
Taipei
Tech Patent Licensing and Technology Transfer Newsletter
²Ä¤T¨÷²Ä¤C´Á
¼ÐÃD
¶½X
¡±½s¿è¤â°O¡±
¥»´Á±M§Q§ÞÂà¹q¤l³ø¡u²£·~°ÊºA¡v¥Ñ¥ÕÄõ¤ó¬ãµo¥DºÞ·¨¥@Þm¤À¨É¦Ì¨äªL¨p¼p¬£¹ïªº¬ü¹¸gÅç¡A¡u´¼°]·sª¾¡v«h¸`¿ý¡m¯à¤O¡nÂø»x±M³X±M§Q§ÞÂà²Õ²Õªø¦¿¶®ºöÃö©ó¡u¦@¨É¸gÀÙ¡vªº°Ó·~¼Ò¦¡¡Bªk³Wª§Ä³»P¥¼¨Ó«e´º¡C
¡±¼x½Z±Ò¨Æ¡±
¡m±M§Q§ÞÂà¹q¤l³ø¡n¨C¤ë¥X¥Z¡A¦U¶µµu¤å±MÄæªø´Á¼x½Z¡A¸Û¼°ÁܽЦU¬É¦³ÃѤ§¤h¤£§[½ç±Ð¡A¥¼¨Ó¶}©l½Z¹S¨C¦r¤@¤¸¡A¤å½Z«Øij¦r¼Æ500¦Ü800¦r¶¡¡A·q½ÐEmail¹q¤lÀɮצܹq¤l«H½cchristy@ntut.edu.tw¡C
¥»³øµo¥Z®É±N¦P¨B±Hµo¥»®Õ±Ð¾û¥Íº[®Õ¤Í¶gª¾¡A¨Ã¥Zµn©ó¥»®Õ±M§Q§Þ³Nºô-¹q¤l³ø¤U¸ü°Ï
http://ntut.eipm.com.tw/epaper.asp¡AÅwªïÂI¾\¤U¸ü¡C
¡±²£·~°ÊºA¡±
§Ö°{¦Ì¨äªL¨p¼p¬£¹ï¡XOne Star
House PartyPop-Up¹°O
¹¯q¸É¥ÕÄõ¤ó¸ê²`¬ãµo¸g²z /¤C¤T¯ù°ó¦@¦P³Ð¿ì¤H
·¨¥@Þm
¦b¤»¤ë¤Q¤K¤é¦³©¯¨üÁÜ°Ñ»P¤@³õ²±¤j±ß®b One Star House Party¦Ì¨äªL¨p¼p¬£¹ï¡A¦b¥xÆWÁ|¦æ¬°´Á¶È¤@¶gªºPop up Restaurant§Ö°{À\ÆU¡A¨¤ß¨ü¨ì¬Û·í¤jªº¾_¾Ù¡A¦Ó¹ï¥xÆWªº¹A·~»P¹«~¬É¡A¦]¦¹Åý§Ú²£¥Í«Ü¦hªº«ä¦Ò»P·Q¹³¡C©Ò¥H¦b°O¾Ð®ø´²«e¾¨§Ö±N¤@¨Ç¨ü¨ìªº±Òµo²¤°O¦p¤U¡C
l ³Ð·Nªþ¥[»ùÈ¡G©Î³\¬O±`¨£ªº¹§÷¡A¦ý¸g¹L¥D¼pªº·§©Àµo·Q¡A¦b¨ýı¤W«·sÃмg¡A¥i¥H³Ð³y¥X¥E¬Ý¿Ë¤Á¡A¦ý¹ê«h·s©_¤S¬ü¨ýªºµæ¦â¡C³o´N¬O³Ð·N¥i¥H±a¨Óªº»ùÈ¡C
l ¨s·¥¹§÷¡G¹§÷Áö»¡¼ô±x¤£¹L¡A¦ýI«áªºµ¥¯Å¬D¿ï¡A¤~¬O¦¨¥\©Ò¦b¡C½Þ¦×¤]n¤T¤Ñ¥H¤Wªº¼ô¦¨¡A¥Îªº¦Ì¡B¥Í³H¤]³£¬O¤@®É¤§¿ï¡C¥xÆW³»¯Å¹§÷¡A¥¿¸Ó¦p¦¹ªí²{¡C
l ¦w¥þ¤£°¨ªê¡GÁöµMµæ³æ·s³Ð¡A¦ý°ò¥»¤u²Ï¹ê¡A³\¦h¤p²Ó¸`¤£¥h²Ó¨s¬OµLªkÅé·|¥L̪º¥Î¤ßªº¡C°ò¥»¥\¤×¨äª`«¹¦w¡A³s·ÏÂt¥Îªº¤ì§÷³£n¨DµL¬rÀËÅç¡A½Þ¦×ªº±O®_½Ã¥Í¹Lµ{³£°l®Ú¨s¬k¡A³o¬O¥xÆW¼p®vÃø¥H¨£¨ì¡B¥xÆW®ø¶OªÌ¤]¨S¯u¥¿¦b·Nªº¡C
l ¤¸¯À«²Õªº¿EÀú: ¬ü¨ý¨Ó¦Û¤¸¯À²Õ¦X-Â×´Iªº¨ýı¨Ó¦Û¹§÷²Õ¦X(µµÄ¬¡B§õ¥JÄСB¥Ì½©¡B¯ïªK¡B¯QÀs¯ù¡B¥É¦ÌŽ¡B½©ÂÈ¡BÆQº{)¡B¥H¤Î·Å«×¹ï¤ñ(¦B¬â¡B¦B²N²O¡B§N¡B¯ù´ö¡BÂȯN¡B½`¯N)¡B¥H¤Î½L¤ºÃC¦â²Õ¦X¡B¥ú½u©ú·t(Àë¥ú¡B¯N¤õ)¡A¤¸¯ÀÂ×´I¡C¦ý´X¥G¤£±j½Õ»®Æ¡A¬O¤@¤j±Ò¥Ü¡A¦Û¤v¤]¸Ó¤Ï¬Ùªº¡C
l «µøµøı¡G²{³õ¦p¤p«¬Live Show¡A¼p®v¹Î¶¤¨§÷»PÃCȳ£ÄݤWµ¥¡A«e¥x¤¤¥¡®q¥«³õ¤º¥´¥ú³Ì©ú«Gªº°Ï°ì¡A¥i»¡¬O¹§÷ªº¦ù®i¥x¡A³Æµæ¹Lµ{³£¬Oµøıªºªíºt¡C¨C¹Dµæ¤Wµæªº®àÃäªA°È¡A±q¼p®vªº¸Ñ»¡¡B½L¤ºªº±Æ¦CµL¤£«µø¬ü¾Ç¡A¦Û»s¥Ì½©¯N¬[¡B®àÃäºV¸Hªd½`´ßµL¤£¬O»E¶°¹«È¥Ø¥ú¡B¨Ã¤Þ°_¤¬¬Û°Q½×¤£§N³õªº«ÂI¡C
l ¹Î¶¤¦X§@¡G®Ö¤ß¹Î¶¤ºë²¶È¤»Ó¤H¡A¦ýÀq«´¤Q¨¬¡A¥D¼pªº·Qªk¯à°÷¶Ç»¼¨ì©Ò¦³¤H¡A¦Ó©Ò¦³¤H¹ï¨C¹Dµæ³£¦³¬Û¦Pªº´x´¤«×¡C¤£¶È¬O¤Wµæ®É¨C®à³£±o¥Ñ¤£¦P¼p®v¤¶²Ð¨C¹Dµæ¡A¦Ó¥BÀH®É¶e¨ì¥ô¤@¼p®v»P¥L²á¥ô¤@¹Dµæ³£¯à¨Ô¨Ô¦Ó½Í¡A¥D¼p¤£Âèp¡A¥i¥H¶}©ñ¤À¨É¬O¹Î¶¤¦¨¥\¡B¥Rº¡³Ð·NªºÃöÁä¡C¦Ó¤Wµæ§¹¦¨«á¬Ý¨ì¹Î¶¤¤¬¬ÛÅw©I¡BÀ»´x¡B¾Ö©êªº¤@¹õ¡A§ó¯àÅé·|¥L̹椲`«pªº·P±¡¡C
l ¹ï¹ª«ªº¼ö±¡¡G«Ü©¯¹B¯à°Ñ»P±q¥L̨ӥxÆW´M§ä¹§÷¶}©l¡A¤@ª½¨ì¬°´Á¤»¤Ñªº§Ö°{À\ÆUªº³Ì«á¤@¤Ñ¡A¯u¥¿¦Y¨ì¥L̪º¬ü¹¡C±q¥Ļä´M¹§÷ªº®Èµ{´N·P¨ü¨ì¥L̹﹪«ªº¼ö±¡¡A®Èµ{¤¤¤°»ò¤p¦Y³£¹Á¡B¦b¦è¥_«B¤¤ÁÙ¤U¥ÐIJºN½_¤l¡BºK°_¹§÷³£¸Õ¤@¤U¨ý¹D¡A³oºØ¼ö±¡¥i¥H¥R¤À§ë®g¦b¨C¹D®Æ²z¤W¡C
l ¦æ¾P«äºû¡G§@¬°¼p®v¡A¦ý¬O¹ï©ó¦æ¾P¦³·§©À¤]«D±`«µø¡A¸Ó¦p¦ó¨ú§÷¡B¦p¦ó«Å¶Ç¡B¦p¦ó§e²{¡AµL®ÉµL¨è³£¦b¥L̪º¸£®ü¸Ì¡C³o¶¬O¦b¥xÆW¼p®v¨¤WÃø¥H¨£¨ìªº¡C
«á°O¡G¥Dµæªº¯Ü¥Ö¤ªá½Þ¦×¡A½Þ¦×³n¹à¥Ì²¢¡BªÎ¦×¤J¤f§Y¤Æ¡B½Þ¥ÖÁ¡¯Ü¡A¬O¥»®bªº°ª¼é¡C¡]·PÁÂJason Changªºªá¥Ð³ßØô¬°¥xÆWª§¥ú¤F¡^¡C¦Ó¥H¥Ì½©¥ÄµµÄ¬¡B§õ¥JÄЬ°Âæ¥Ä¡Aºó¦³¯Q³½¤l¼}´µ¡B¥Ì½©ªäÁ¡¤ù¡A¦AÅx¤W¯Q³½¤l¸H®hªº¥Í³H¥O§Ú¤£·R¦Y®üÂAªº¤H¤]¿E½à¡C¦Ó¥H¥Ì½©¥Ä¼õ¯ïªK¥Ö»P±ð¡BÂfÂc¸¬°´ö¡A¥[¤W¯QÀs¯ù¦B¨Fªº¯ïªK¡A¹ê¦b¦n¦Y¨ì¥O§Ú³s´ö³£»Q¥ú¤F¡AÅý§Ú¤£¸T·Qn§ï¤Ñ¨Ó°Ñ¦Ò½Æ»s¦¨¯ù¶¼¸Õ¬Ý¬Ý¡C
¤EÂç¦Ì Vic Maªº¦w¥þ¥É¦Ìªº¶¯ªá¡A¦b³oÃä°µ¤F¥xÆW¹A·~¤§¬üªº³Ì¨Î®i¥Ü¡C¤£¦n·N«äªº¬O¡A¨S¤U¹L¥Ðªº§Ú¡A¥»¨ÓÁÙ¥H¬°¨º¬O³ÁÁJ¡A³Q¦P®à¤EÍù¦ÌªºVic MaµÛ¹¨ú¯º¤F¤@¤U¡C
°ß¤@¤£º¡¨¬ªº¬O¡A®u¶¡¨S¦³¤°»òºÒ¤ô¤Æ¦Xª«¡A¤×¨ä¬O¤T«~½Þ¦×®Æ²z¡A«Ü·Q¦³°t¥Õ¶ºªº½Ä°Ê¡C¦¹¥~¡A¤]´X¥G¨S¦³½µæ¡AÅÖºû¶q¤Ó§C¡A¦ü¥G¦bÀç¾i¤W¤£¬O¤Ó§¡¿Å¡A¦ý¬O¬ü¹·í«e¡A´NºÞ¤£¤F¨º³\¦h¤F¡C
Á`¤§¡A¥xÆW¹¹Aªº¸gÀç·í¦p¬O¡Aȱo§Ú̦n¦n°Ñ¦Ò¡C¥J²Ó«ä¶q¡A¨ä¹ê§Ú̶ZÂ÷¥@¬É¤@¬yµ¥¯Å¤]¨S¨º»ò»»»·¡A¥un§ÚÌ¥´¶}²´¬É¡AÄ@·N»P¥@¬É¥æ¬y¡A«i©ó±¹ï¬D¾Ô¡A§Ú̬O¥i¥H«Ü§Öªº´£¤É¦Û§Úªº²£·~¤ô·Ç¡C§e²{¥xÆWÀu½è¹A²£«~»P¶¼¹¤å¤Æ¡A³o¬O«Üȱo°Ñ¦Òªº¤@ºØÀu¨}¤¬°Ê¼Ò¦¡¡C
¡±´¼°]·sª¾¡±
³Ð·sÁÙ¬O¯}Ãa¡H¦@¨É¸gÀÙªº·½ÀY¬¡¤ô[1]
¡m¯à¤O¡nÂø»x¯S¬ù½s¿è
³¯©¯ªK
´º®ð§C°g¶Ê¥Í¸ê·½¦@¨É
¦b¤HÃþ¾ú¥v¤W¡A¦@¨É¸gÀ٨ëD·sÂA¨Æ¡A±q©Ð«Î¥X¯²¡B¨T¨®¯²¸îµ¥¡A¥un¯à´C¦X¶¢¸m¸ê·½»P¨ä¥L»Ý¨D¡A³£¥i»¡¬O¡u¦@¨É¸gÀÙ¡vªº¨Ò¤l¡C²{¥ô¥x¥_¬ì§Þ¤j¾Ç´¼°]¬ã¨s©Òªº¦¿¶®ºö§U²z±Ð±Â¡A¦^·¹µ£¦~®É´ÁÁ`·|©M¦P¾Ç¬Û¬ù¤@°_¨ìº©µe©±¬Ýº©µe¡A¿Ä¤Jº©µe¤Hª«³ß«ã«s¼Öªº±¡ºü¤¤¡A«×¹L§Ö¼Öªºµ£¦~®É¥ú¡A¦ÓÄY®æ»¡°_¨Ó¡A¦´Á«Ñ§Ë±`¨£ªº¯²®Ñ©±¥¿¬O¤@ºØ¦@¨É¸gÀÙ°Ó·~¼Ò¦¡¡C
¦¿¶®ºö±Ð±Âªí¥Ü¡A¡u¦@¨É¸gÀÙ¡v¤§©Ò¥H¦bªñ¦~¦¨¬°¼öªù¦Wµü¡A¥Dn¬O¤Ñ®É¡B¦a§Q¡B¤H©M¦UºØ±ø¥óѨ¬¡A¤~¤@ÅD¦¨¬°Áâ¥ú¿O¤Uªº°{Ä£µJÂI¡C21¥@¬ö¼Æ¦ì¬ì§Þ½´«kµo®i¡A¥[¤W¤j¼Æ¾Úªº¤ÀªR§Þ³N¶i¨B¡B¶³ºÝÀx¦sªº¦¨¥»°§C¡BªÀ¥æ´CÅé´¶¤Îªº®É¥N¡A¦@¨É¸gÀÙ¬O「¸U¨Æ¬Ò³Æ¡A¥u¤íªF·¤F¡v¡I
·s²£·~¬D¾Ô¦U°êªk«ß
½²^¤åÁ`²Î©ó520´N¾ºt»¡¤¤¡A§â³Ð·s¸gÀÙ¦C¬°«ÂI¡C¤µ¦~³Õ÷´¨È¬w½×¾Â(Boao Forum for Asia)2016¦~¦~·|¤W¡A¡u¦@¨É¸gÀÙ¡v¤]¬O³Ì¼öªùªº¸ÜÃD¡C¦ý°ò©ó「·s¿³²£·~¡v©w¦ì¤£©ú¡A½Ä¼²¦U°ê¬F©²ªºªk«ß¡A¤Þµo°Q½×¡C
¦¿¶®ºö±Ð±Â¥HUber¬°¨Ò¡A¬Û¸û©ó¥¿³Wpµ{¨®¥q¾÷»Ýn¦Ò¨ú¾·~¾r·Ó¡B¤£±o¦³«e¬ì¡K¡Kµ¥ÄY®æ³W½d¡AUber¥q¾÷¶È»Ý¦³¤@¯ë¾r·Ó´N¥i¤W¸ô¸ü«È¡C³o¼Ë¸U¤@³~¤¤¥ô¤@¤è¾D¨ì©Ê«I©Î·m§Tµ¥¡A³d¥ô¥Ñ½Ö¦ª¡HÀ³¦V½Ö¯Á½ß¡H¦¨¬°ªk«ßªº¦º¨¤¡Aȱo²`«ä¡C¡u¦P¼Ëªº¡AAirbnb¤]¦³®ÈÀ]ºÞ²z¤Wªº°ÝÃD¡A¡v¦¿¶®ºö±Ð±Â¶i¤@¨B«ü¥X¡A¦AªÌ¡A½Òµ|°ÝÃD¤]¤@ª½§xÂZ¦U°ê¬F©²¡C
Uber¦Xªk¶Ü ^¬ü«ç»ò»¡
¦¿¶®ºö±Ð±Â¯S§O¥H°ê¥~³Ìªñµo¥Íªº®×¨Ò§@¬°°ê¤º²£©x¾Ç¨ú¸g¾Ç²ß¹ï¶H¡G「^°êpµ{¨®·~ªÌ¤]¹ïUber´£¥X§i¶D¡Aì¦]¤jP©M¥xÆW¬Û¦P¡C¤£¹L¡A^°êªk°|«o¦³¤£¦P§P¨M¡Aªk°|»{¬°¶Ç²Îpµ{¨®·~ªÌ¥H¡yp®É¾¹¡z¦¬¶O¡A¶·¨üªk«ß¨î«×³W½d¡AUber¬O³z¹Lºô¸ô¥¥x¥s¨®¡B¦¬¶O¡A©M¤@¯ë¾Ö¦³¡yp®É¾¹¡zªº¥q¾÷¤£¦P¡A¦]¦¹¡A^°ê°ª°|¤£¤[«e¤~»{©wUberÀç¹B¨S¦³¹Hªk¡C¡v
¬ÛÃöª§Ä³µo¥Í¦b¬ü°ê¡A«h¬O¥H³Ò¸êªÈ¯Éªº§Î¦¡¥X²{¡CUberºX¤Uªº¥q¾÷»{¬°¤½¥q¦¨ªø§Ö³t¡B²£ÈÅå¤H¡Aû¤uÀ³¨É¦³¥¿Â¾¦p«OÀIµ¥ºÖ§Q¡A¬°¤Fª§¨ú¦Û¨Åv¯q¡Aª¬§i¬ü°êªk°|¡A¤£¹L³Ì«áÂù¤è¹F¦¨©M¸Ñ¡C
¦@¨É¦n¦bþ «ÂI¬O¦³½ì
¦¿¶®ºö±Ð±Â«ü¥X¡A¦b¤@¶µ¬ü°ê·|p¤½¥qªº½Õ¬d¤¤¡A81¢Hªº¨ü³XªÌ»{¬°¡u¦@¨É¡v¤ñ¡u¿W¦Û¾Ö¦³¡v§ó«K©y¡F78¢Hªº¨ü³XªÌ»{¬°¡A¨Ï¥Î¦@¨É¸gÀÙ¼Ò¦¡©Ò´£¨ÑªºªA°È¡A¦³§U«Ø¥ß§ó¤j§óºò±KªºªÀ¸s¹ÎÅé¡F¦Ó86¢Hªº¨ü³XªÌ«h´£¨ì¨Ï¥Î¡u¦@¨É¸gÀÙ¼Ò¦¡¡v¬O¤@Ó¦³½ìªº¸gÅç¡C¡u¥i¨£°£¤F§ïÅܤH̹ï©ó¸ê²£©Ò¦³Åvªº»{ª¾¡A¦@¨É¸gÀÙ¼Ò¦¡¤§©Ò¥H§l¤Þ¤Hªº3¤jì¦]¡G1.¦³®Ä²v¡F2.»ù®æ§C¡F3.·sÂA¦³½ì¡C¡vY¯à¥H«K©yªº»ù®æ¨ú±o¬Û¦P¬Æ¦Ü§ó¦nªºªA°È¡A½Ö¤SÄ@·N¥I¥X¸û¦hªºª÷¿ú¥h·íÞ¤jÀY©O¡H¦¿¶®ºö±Ð±Â¤À¨É¡G「§Ú¦b¬ü°êªºªB¤Í¹ïUber±À±R³Æ¦Ü¡A¦P¼Ë¤@¬q¸ôµ{¡A¶Ç²Îpµ{¨®·~ªÌ¦¬¨ú30¬ü¤¸¡A¦ÓUber¥q¾÷¶È¦¬¨ú¤£¨ì20¬ü¤¸¡A®ø¶OªÌ·íµM¿ï¾Ü«K©yªºUber·f¼¡C¡v¤£¹L¤@¤À¿ú¤@¤À³f¡A「¬ü¤¤¤£¨¬ªº¬O¡A¦³®É¥q¾÷¬O¤@¦ì¤W¤F¦~¬öªº¦Ñ±C±C¡AªB¤Í·q¦Ñ´L½å¡A¥u¦n¦Û¤v±N¦æ§õ´£¤W¨®¤F¡C¡v¦¿¶®ºö±Ð±Â¯ºµÛ»¡¡C
¨Ï¥ÎªÌ²³¤~¬O¦@¨ÉĹ®a
°ò©ó¤u§@»Ý¨D¡A¦¿¶®ºö±Ð±Â¸g±`¨ì°ê¥~¥X®t°Ñ¥[¾Ç³N¬ã°Q·|¡A¨Ã°ÑÆ[·í¦a¥ø·~¸gÀç¤è¦¡¥H¨V¨ú§ó¦hªº·sª¾¡A¤]¦]¦¹¶}±Ò¦o¹ï©ó¦@¨É¸gÀÙ§ó²`¤Jªº«ä¦Ò¡G¡u¦@¨É¸gÀٳзsªº¦a¤è¦b©ó¨ä°Ó·~¼Ò¦¡¡A¦¹ºØ°Ó·~¼Ò¦¡¨Ã¨S¦³±M§Q¡A«Ü®e©ö¼Ò¥é¡C¨S¦³±M§Q«OÅ@¡A¥Nªí¤H¤H³£¥i¥H¹Á¸Õ¡A«o¤]¥NªíÄvª§¿E¯P¡A¥¢±Ñ¾÷²v«Ü¤j¡C¨Ò¦pUber¦b¤¤°ê´N½ð¨ìÅKªO¡A»P´£¨ÑÃþ¦üªA°Èªººwºw¥´¨®W¾Ô¡C»PAirbnb¬Û¦üªºµu¯²¥ò¤¶¸ê°Tºô¯¸¤]©Ò¦b¦h¦³¡A¥u¬O¤£¤Öºô¯¸³£¤w¦b¯í¯íºô®ü¤¤ªwªj¤Æ¡C¡v¦b±À¼s§Þ³N°Ó·~¤Æ¾Ö¦³Â×´I¸gÅ窺¦¿¶®ºö±Ð±Â´nµM¹D¡G「³oºØAPP¥¥x¤ñªº¤£¬O½Ö¥\¯à³Ì»ô¥þ¡B§Þ³N³Ì¥ý¶i¡A¦Ó¬O½Ö¦³³Ì¼s¤jªº¨Ï¥ÎªÌªÀ¸s¡C¾Ö¦³³Ì¦h¨Ï¥ÎªÌ¡A¤~¬O¦@¨É¸gÀÙªºÄ¹®a¡C¡v
°ªÄÖ¤H¤f¼çÂðӾ÷
¥xÆW¦P®Én±Á{¤H¤f¦Ñ¦~¤Æ¡B¤Ö¤l¤ÆÀH¤§¦Ó¨Óªº³Ò°Ê¤Oµu¯Ê§x¹Ò¡A¦¿¶®ºö±Ð±Â»P§Ṳ́À¨Éªñ´Áªº¤@ӮרҡG6¤ëªì¡AUber²×©ó¥´¶}¤F¤é¥»¥«³õ¡AÀòã¦b¤é¥»¦è©¤¨Ê¤¦«á¥«(Kyotango)ªº¤¦«áËm(Tango)´£¨ÑªA°È¡C¤¦«áËm¤H¤f¶È5560¤H¡A¬O¤@Ó°ªÄ֤ƪº¤pÂí¡A8¦~«e´N¤w³Q¦a¤èpµ{¨®¦æ©Ò©ß±ó¡AÂí¤Wªº¦Ñ¤Ó¤Ó«Ü°ª¿³¦b¥ªO¹q¸£¤W°Ê¤@°Ê¤â«ü´N¯à¥s¨ì¨®¤l¡FUber¤]«Ü¶}¤ß¡A²×©ó¦b¤é¥»°ªÄ֤ƪÀ·|¸Ñ¨M¤è®×½ñ¥X²Ä¤@¨B¡C
「§Ú²`¤Á»{¬°¦@¨É¸gÀÙ¥i¥HµÛ²´¦b¸Ñ¨M³oÃþ°ÝÃD¡A¡v¦¿¶®ºö±Ð±Â¹ï©ó¦@¨É¸gÀÙÀ³¥Î¦b¥xÆW¦Ñ¤H·ÓÅU°ÝÃD¤W±H¤©«p±æ¡A¤]¼Ö¨£¥¼¨Ó§ó¦h·~ªÌ§ë¤J¡C
¡±¥»®ÕÀòÃÒ±M§Q¤¶²Ð¡±
l
2016¦~6¤ë1¤éÀò±o¤¤µØ¥Á°ê²ÄI536875¸¹±M§Q¡A±M§Q¦WºÙ¡u»Éºä°òªO¤Î¨ä»s³y¤èªk¡v
1.±M§QÃþ«¬¡Gµo©ú
2.ºKn¡G¥»µo©ú«Y´£¨Ñ¤@ºØ»Éºä°òªO¡A¨ä«Y§Q¥ÎÀôª¬²mÖL»E¦Xª«ÅÖºû¥¬§@¬°»s§@»Éºä°òªO¤§°ò¥¬¤§¤@¡A¥H°§C»Éºä°òªO¤§¤¶¹q±`¼Æ¤Î¹q¤l¥¿¤Á·l¯Ó¡C¦P®É¡A¥»µo©ú©Ò´£¨Ñ¥Î©ó»s§@»Éºä°òªO¤§¾ð¯×¡A¨ä@¿Uµw¤Æ¾¯«Y¥¼§t³¿¯À¦Ó¥iÁקKÀô¹Ò¦Ã¬V¡A¨ÃÂǥѸÓ@¿Uµw¤Æ¾¯¤§Àôª¬ÁC»Ä൲ºc¨Ó´£°ª¼öéw©Ê¤Î¤Æ¾Çéw©Ê¡C¦AªÌ¡A¦b»Éºä°òªO¤§»sµ{¤¤¡A©ó¼öµw¤ÆÀ£¦X´Á¶¡¶i¦æ¤@°h¤õµ{§Ç¥i¶i¤@¨B¸Ñ¨M¦]Àôª¬²mÖL»E¦Xª«ÅÖºû¥¬»P¬Á¼þÅÖºû¥¬¤§¼ö¿±µÈ²vªº¤£¦P¦Ó¾ÉPªºÂ¼ªO°ÝÃD¡C
3.µo©ú¤H¡Gͺ²»ÄP¡BªL¥Ã©Z
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
ͺ²»ÄP |
¨t©Ò¾¦ì |
¤À¤l¬ì¾Ç»P¤uµ{¨t/±Ð±Â |
¬ã¨s»â°ì |
°ª¤À¤l¥[¤u¡B¹qºÏ¬yÅÜ¡B¥Íª«¬yÅÜ¡B¿Äº²¯¼µ· |
¬ÛÃö³sµ² |
http://ar.ntut.edu.tw/Professor/%E8%8A%AE%E7%A5%A5%E9%B5%AC/1324.aspx |
l
2016¦~6¤ë1¤éÀò±o¤¤µØ¥Á°ê²ÄI536652¸¹±M§Q¡A±M§Q¦WºÙ¡u¤@ºØ¨ã¦³°ÊºA¶§·¥¬y¹D¤§ª÷ÄÝ¿U®Æ¹q¦À¡v
1.±M§QÃþ«¬¡Gµo©ú
2.ºKn¡G¥»µo©ú´£¨Ñ¤@ºØ¨ã¦³°ÊºA¶§·¥¬y¹D¤§ª÷ÄÝ¿U®Æ¹q¦À¡A¨ä¥]¬A¡G¤@¶§·¥¤ÏÀ³¼Ñ¡B¤@¶§·¥¾É¹q¤ù¡B¤@¹jÂ÷½¤¡B¤@³±·¥¾É¹q¤ù¡B¤@³±·¥¤ÏÀ³¤ù¡B¤@§t¦³ª÷ÄÝÁû²É¤§·»²G¥H¤Î¤@¥~´ß¡C¶§·¥¤ÏÀ³¼Ñ¨ã¦³¤@¤J¤f¥H¤Î¤@¥X¤f¡A¤J¤f¥H¤Î¥X¤f¤§¶¡³z¹L¤@¬y¹D³s±µ¡C¶§·¥¾É¹q¤ù«Y¹q©Ê³s±µ©ó¶§·¥¤ÏÀ³¼Ñ¡A¦Ó³±·¥¾É¹q¤ù«h¹q©Ê³s±µ©ó³±·¥¤ÏÀ³¤ù¡C¹jÂ÷½¤«Y¸m©ó¶§·¥¤ÏÀ³¼Ñ¥H¤Î³±·¥¤ÏÀ³¤ù¤§¶¡¡A¥H¨¾¤î¶§·¥¤ÏÀ³¼Ñ»P³±·¥¤ÏÀ³¤ùª½±µ±µÄ²¡C©Òz¥~´ß«Y¨Ì§Ç±N¶§·¥¤ÏÀ³¼Ñ¡B¶§·¥¾É¹q¤ù¡B¹jÂ÷½¤¡B³±·¥¾É¹q¤ù¥H¤Î³±·¥¤ÏÀ³¤ù¥]ÂШéT©w©ó¨ä¤¤¡C©Òz§t¦³ª÷ÄÝÁû²É¤§·»²G«Y¥Ñ¤@¹q¸Ñ²G¥H¤Î¤@ª÷Äݯ»¥½½Õ°t¦Ó¦¨¡A·»²G«Y¥Ñ¶§·¥¤ÏÀ³¼Ñ¤§¤J¤f¶i¤J¡A¦b¬y¹D¤¤¶i¦æ¹q¤Æ¾Ç¤ÏÀ³«á¡A±q¶§·¥¤ÏÀ³¼Ñ¤§¥X¤f¬y¥X¡C
3.µo©ú¤H¡G¶À°êסB¬xಳ͡B±i«T³Ç
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
¶À°ê× |
¨t©Ò¾¦ì |
¨®½ø¤uµ{¨t/±Ð±Â |
¬ã¨s»â°ì |
ºñ¦â¯à·½¬ì§Þ¡B½Æ¦X¹q°Ê¨®¡Bª÷ÄÝ¿U®Æ¹q¦À¡B¥i¦^¦¬¤º¿U¾÷¼o¯àªº½Æ¦X®ð°Ê¨t²Î¤Î°Ï°ì©ÊªÅ½Õ |
¬ÛÃö³sµ² |
http://ar.ntut.edu.tw/Professor/%E9%BB%83%E5%9C%8B%E4%BF%AE/1404.aspx |
l
2016¦~4¤ë11¤éÀò±o¤¤µØ¥Á°ê²ÄM520194¸¹±M§Q¡A±M§Q¦WºÙ¡u®ðîµ²ºc¡v
1.±M§QÃþ«¬¡G·s«¬
2.ºKn¡G¤@ºØ»´¶q¤Æªº®ðîµ²ºc¡A¥]§t¡G¥Ñ¥|Ó¥±ºc¦¨ªº¥DÅé¡A¨Ï¥DÅé¤W¤è©M¤U¤è§e¶}©ñª¬ºA¡A¥B¥±ªº©³ºÝ¬Ò¨ã¦³¤@¼µÂi¡F¤@¤W»\¡A³]¸m©ó¥DÅé¤W¤è¡F¤@³z®ðªO¡A½¦¦X³]¸m©ó¥±©³ºÝªº¼µÂi¤W¡F¥H¤Î¤@³q®ð¤Õ¡A³]¸m©ó¤W»\¡A¥Î©ó±µ¨ü¼ä²b®ðÅé¶ñ¥R¡C
3.µo©ú¤H¡GJ¥Û¬F¡BªL}¡B¤ý²K¼Ý
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
J¥Û¬F |
¨t©Ò¾¦ì |
¯à·½»P§NáªÅ½Õ¤uµ{¨t / ±Ð±Â |
¬ã¨s»â°ì |
¼ä²b«Ç¤Î¨ü±±Àô¹ÒªÅ½Õ¤Î¦Ã¬V±±¨î¡B¥i«ùÄò«Ø¿vÀô¹Ò³]p¡B«Ç¤ºªÅ®ð«~½è¡B¸`¯à¬ì§Þ¡B¼ö¦^¦¬§Þ³N |
¬ÛÃö³sµ² |
http://ar.ntut.edu.tw/professor/%E8%83%A1%E7%9F%B3%E6%94%BF/1337 |
l
2016¦~5¤ë1¤éÀò±o¤¤µØ¥Á°ê²ÄM521078¸¹±M§Q¡A±M§Q¦WºÙ¡u§N§¡À£»s³Æ³³²¡¹v§÷¸Ë¸m¡v
1.±M§QÃþ«¬¡G·s«¬
2.ºKn¡G¥»±M§Q´£¨Ñ¤@ºØ§N§¡À£»s³Æ³³²¡¹v§÷¹v§÷¸Ë¸m¦p¥Nªí¹Ï©Ò¥Ü¡A¨ä¥Dn¥Ñ©w¦ì¤U¥ªO¡B¹v§÷®y¡B©w¦ì¥~Àô»P¹ïºÙ¤¤¤ßÀ£ÀYºc¦¨¡C§Q¥Î²³æ§N§¡À£¤§¶b¦V¤OÀ£»s©w¦ì¥~Àô¤º³¡ªº¯»¥½¦Ü¦¨§Î¡C¥»±M§Q¤§¯SÂI¦b©ó¾A¥Î¦UºØ³³²¡¤Îª÷Äݧ÷®Æ¡A¥B¦b«Ç·Å¤U³z¹L§N§¡À£ªº¤è¦¡§Y¥i¦¨¥\»s³Æ¥X¹v§÷¦¨«~¡C
3.µo©ú¤H¡GÃQ¤jµØ¡B¬ö¬f¸«¡BĬ´¼°¶¡B¨ô¬f§»¡BÅǮѲ»¡Bµ£¸t³Í
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
ÃQ¤jµØ |
¨t©Ò¾¦ì |
»s³y¬ì§Þ¬ã¨s©Ò / °Æ±Ð±Â |
¬ã¨s»â°ì |
¥ú¹q¤¸¥ó®Ä¯à¼W¶i»P¶}µo¡BºÏ¹q§÷®Æ¶}µo¡B¥Íª«ÀË´ú§Þ³N¤Î¤¸¥ó»s³Æ¡B¸ê®ÆÀx¦s´CÅéÀ³¥Î¡B§Cºû«×©`·L¦Ìµ²ºc»s³y |
¬ÛÃö³sµ² |
http://ar.ntut.edu.tw/professor/%E9%AD%8F%E5%A4%A7%E8%8F%AF/1642 |
l
2016¦~5¤ë11¤éÀò±o¤¤µØ¥Á°ê²ÄM521852¸¹±M§Q¡A±M§Q¦WºÙ¡u¥iµø¨¤««Øªº¤¬°Ê§ë¼v¨t²Î¸Ë¸m¡v
1.±M§QÃþ«¬¡G·s«¬
2.ºKn¡G¤@ºØ¥iµø¨¤««Øªº¤¬°Ê§ë¼v¨t²Î¸Ë¸m¡A¥]¬A¤@²`«×·P´ú¸Ë¸m¡B¤@§ë¼v¸Ë¸m¡B¤Î¤@¸ê®Æ³B²z¸Ë¸m¡C²`«×·P´ú¸Ë¸m¥Î¥H·P´ú¤@Æ[ªÌªºªÅ¶¡¦ì¸m¡C§ë¼v¸Ë¸m¥Î¥H§ë®g¤@µêÀÀ¼v¹³¦Ü¤@¹êÅé¼Ò¡A¸ÓµêÀÀ¼v¹³»P¸Ó¹êÅé¼Ò°t®M¡C¸ê®Æ³B²z¸Ë¸m¥Î¥H³z¹L¸Ó²`«×·P´ú¸Ë¸m±µ¦¬¸ÓÆ[ªÌªºªÅ¶¡¦ì¸m¤§«á¡A§Y®ÉÂà´«¥X¹ïÀ³¸ÓÆ[ªÌªº¥ßÅé²`«×¸ê®Æ¡A¨Ã¿é¥X¸ÓµêÀÀ¼v¹³¦Ü¸Ó§ë¼v¸Ë¸m¡A¨Ï¸ÓµêÀÀ¼v¹³¯à³Q§ë®g¨ì¸Ó¹êÅé¼Ò¡C·í¸Ó¸ê®Æ³B²z¸Ë¸m®Ú¾Ú¸Ó¥ßÅé²`«×¸ê®Æ§PÂ_¸ÓÆ[ªÌªºªÅ¶¡¦ì¸m§ïÅܤ§«á¡A±N»P¸Ó¹êÅé¼Ò°t®Mªº¸ÓµêÀÀ¼v¹³¦A¸g¹Lpºâ«á¡A¨Ï¸ÓµêÀÀ¼v¹³®Ú¾Ú¸ÓÆ[ªÌªºªÅ¶¡¦ì¸mªº§ïÅܦӦb¸Ó¹êÅé¼Òªí±²£¥Í¤W¤U¡B¥ª¥k©Î²`«×ªºµø¨¤»PªÅ¶¡ÅÜ´«¡A¥H²Å¦X¹ê»ÚªºªÅ¶¡»{ª¾¡C
3.µo©ú¤H¡GÀs¬èæP¡B¬_´Ñ³Ó¡B³\µq²E¡B§d©Ó·u¡BµL°ß·G¡B±iÀR©y
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
Às¬èæP |
¨t©Ò¾¦ì |
¤¬°Ê³]p¨t / §U²z±Ð±Â |
¬ã¨s»â°ì |
µêÀÀ»Pºô¸ôªÅ¶¡¡B«á¤HÃþ¤å¤Æ¡B¼Æ¦ì¤¶±»P¶W¨Åé²{¶H¡B¼Æ¦ìÃÀ³N¬ÛÃö¬ã¨s |
¬ÛÃö³sµ² |
http://ar.ntut.edu.tw/professor/%E9%BE%8D%E7%A5%88%E6%BE%94/1713 |
l
2016¦~6¤ë1¤éÀò±o¤¤µØ¥Á°ê²ÄM523236¸¹±M§Q¡A±M§Q¦WºÙ¡uÂŪ޶ǿé¸ê°T¬ö¿ý¨t²Î¡v
1.±M§QÃþ«¬¡G·s«¬
2.ºKn¡G¤@ºØ¾A¥Î©ó»·¶ZÂ÷±±¨î¤â¾÷¿ýµ³nÅ骺ÂŪ޶ǿé¸ê°T¬ö¿ý¨t²Î¡A¥]§t¤âÀô¡B´¼¼z«¬¤â¾÷¡B°¼¿ý³nÅé¤T¤j³¡¥÷¡Cº¥ý¡A¤âÀô¥~°¼¦w¸Ë¤F¤@Ó±±¨î«ö¶s¥H¤Î¤@ÓÀô§Î¤Ñ½u¡A¨Ã¥BÂǥѦ¹±±¨î«ö¶s¨ÓIJµoÂŪ޼ҲաF¥t¤@¤è±¡AÀô§Î¤Ñ½uªº¤u§@ÀW²v¬°2.402-2.480GHz-¥ç§YÂŪ޳q°Tªº¤u§@ÀW±a¡A¥¦±N¶Ç°eÂŪ޼ҲժºÄ²µo°T¸¹¦Ü´¼¼z«¬¤â¾÷¡C·í¤â¾÷±µ¨ü¨ì¦¹Ä²µo°T¸¹¡A±N·|¦Û°Ê±Ò°Ê¥»¨t²Î©Ò¼¶¼gªº°¼¿ý³nÅé¡A¦]¦¹¡A¥]§tÁnµ¡B¼v¹³¡B¹Ï¤ùµ¥°¼¿ý¸ê°T±N¯à§óÁô±K¦a³Q¤â¾÷°O¿ý¡C
3.µo©ú¤H¡G³¯®Ë²Æ¡BÁ©ú®Ë¡B°ªµØ§»¡B´å´º´Q¡B¾G±Ò¨}
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
³¯®Ë²Æ |
¨t©Ò¾¦ì |
¹q¤l¤uµ{¨t / §U²z±Ð±Â |
¬ã¨s»â°ì |
¤Ñ½u³]p¡BµL½u³q°T¡B³Ì¨Î¤Æºtºâªk¤§·LªiÀ³¥Î |
¬ÛÃö³sµ² |
http://ar.ntut.edu.tw/professor/%E9%99%B3%E6%99%8F%E7%AC%99/1716 |
l
2016¦~6¤ë11¤éÀò±o¤¤µØ¥Á°ê²ÄM523368¸¹±M§Q¡A±M§Q¦WºÙ¡u´È¤l¡v
1.±M§QÃþ«¬¡G·s«¬
2.ºKn¡G¤@ºØ´È¤l¥]§t¤@´È®y¤Î¤@§¤¶ô¡A¸Ó´È®y¥]¬A¤@·§§e²y±©·§Î¤U¥Wªº³»±¡F¸Ó§¤¶ô³]¸m©ó¸Ó´È®yªº³»±¡A¨Ã¥]¬A¤@·§§e²y±©·§Î¥B»P¸Ó´È®y¤§³»±¬Û°t¦Xªº©³±¡A¤Î¤@¬Û¤Ï©ó¸Ó©³±¨Ñ¨Ï¥ÎªÌ¼§¤ªº¼§¤±¡F¸Ó§¤¶ôªº©³±¥i¬Û¹ï©ó¸Ó´È®yªº³»±·Æ°Ê¡A¦]¦¹¡A·í¨Ï¥ÎªÌ¼§¤©ó¸Ó§¤¶ô¤W®É¡A¯àÅéÅç¦p¼²î¯ë·n®Ìªº·Pı¡C
3.µo©ú¤H¡G±iYÛr¡B§d±Rºa
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
±iYÛr |
¨t©Ò¾¦ì |
¤u·~³]p¨t / §U²z±Ð±Â |
¬ã¨s»â°ì |
®a¨ã³]p¡B¤H¦]¬ã¨s¡B°Ó«~³]p¡B°Ó·~¥]¸Ë³]p |
¬ÛÃö³sµ² |
http://ar.ntut.edu.tw/professor/%E5%BC%B5%E8%8B%A5%E8%8F%A1/1674 |
l
2016¦~6¤ë11¤éÀò±o¤¤µØ¥Á°ê²ÄM523369¸¹±M§Q¡A±M§Q¦WºÙ¡u¦h¬q½Õ¾ã¦¡®y´È¡v
1.±M§QÃþ«¬¡G·s«¬
2.ºKn¡G¤@ºØ¦h¬q½Õ¾ã¦¡®y´È¡A¥]§t¡G¤@°ò®y¡A¨ã¦³¤@¹ï²Ä¤@·Æ¼Ñ¡A¤Î¦h¹ï©¼¦¹³s³qªº²Ä¤G·Æ¼Ñ¡F¤@²Ä¤@ªOÅé¡F¤G²Ä¤@¥Y¶b¡Aªu¤@²Ä¤@¶b½u¥Y³]©ó¸Ó²Ä¤@ªOÅé¡A¥B¤À§O¦ù¤J¸Óµ¥²Ä¤@·Æ¼Ñ¡A¨Ã¯àªu¸Óµ¥²Ä¤@·Æ¼Ñ·Æ°Ê¡F¤Î¤G²Ä¤G¥Y¶b¡Aªu¤@¬Û²§©ó¸Ó²Ä¤@¶b½uªº²Ä¤G¶b½u¥Y³]©ó¸Ó²Ä¤@ªOÅé¡A¥B¯à¤À§O¦ù¤J¨C¤@¹ï²Ä¤G·Æ¼Ñ¡A¨Ã¯àªu¸Óµ¥²Ä¤G·Æ¼Ñ·Æ°Ê¡F¸Óµ¥²Ä¤G¥Y¶b·Æ°Ê¦Ü¤£¦P¹ï²Ä¤G·Æ¼Ñ®É¡A¸Ó²Ä¤@ªOÅé»P¤@¤ô¥±ªº§¨¨¤¬Û²§¡C
3.µo©ú¤H¡G±iYÛr
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G¦P¤W«h
l
2016¦~3¤ë29¤éÀò±o¬ü°ê²ÄUS 9,296,528 B2¸¹±M§Q¡A±M§Q¦WºÙ¡uContainer With
Easily-Detached Lid (©ö±È»\¤§ªi®ö³y«¬ÅøÅé¸Ë¸m)¡v
1.±M§QÃþ«¬¡Gµo©ú
2.ºKn¡GA container has a main body and an
easily-detached lid. The main body has an opening, and a main body engaging
element is disposed around the edge of the opening. The lid has a lid engaging
element corresponding to the main body engaging element for allowing the lid to
engage with the main body via the main body engaging element and the lid
engaging element. A wall is disposed at the outer boundary of the lid, and the
wall has at least one tilting portion.
3.µo©ú¤H¡GS¬F´}¡B½²´I¦Ð¡B§õN·_¡B³\ºÓ¤¯
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
S¬F´} |
¨t©Ò¾ºÙ |
¤u·~³]p¨t/§U²z±Ð±Â¯Å±M·~§Þ³N¤Hû |
¬ã¨s»â°ì |
²£«~³]p¹ê°È¡B²£«~¥ø¹º¡B»s³yµ{§Ç¡B²£«~³]pµ¦²¤ |
¬ÛÃö³sµ² |
l
2016¦~3¤ë15¤éÀò±o¬ü°ê²ÄUS 9,286,690 B2¸¹±M§Q¡A±M§Q¦WºÙ¡uMethod And Apparatus For
Moving Object Detection Using Fisher¡¦S Linear Discriminant Based Radial Basis
Function Network (´¼¼z«¬¥æ³qºÊ±±¨t²Î¤§¦b¯u¹ê¥@¬ÉÅÜ°ÊÀW¼e¤Uªº¦Û°Ê²¾°Êª«ÅéÂ^¨ú)¡v
1.±M§QÃþ«¬¡Gµo©ú
2.ºKn¡GA method for moving object detection based on a
Fisher's Linear Discriminant-based Radial Basis Function Network (FLD-based RBF
network) includes the following steps. A sequence of incoming frames of a fixed
location delivered over a network are received. A plurality of discriminant
patterns are generated from the sequence of incoming frames based on a Fisher's
Linear Discriminant (FLD) model. A background model is constructed from the
sequence of incoming frames based on a Radial Basis Function (RBF) network
model. A current incoming frame is received and divided into a plurality of
current incoming blocks. Each of the current incoming blocks is classified as
either a background block or a moving object block according to the
discriminant patterns. Whether a current incoming pixel of the moving object
blocks among the current incoming blocks is a moving object pixel or a
background pixel is determined according to the background model.
3.µo©ú¤H¡G¶À¤h¹Å¡B³¯¬f»¨
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G
µo©ú¤H |
¶À¤h¹Å |
¨t©Ò¾¦ì |
¹q¤l¤uµ{¨t / ±Ð±Â |
¬ã¨s»â°ì |
´¼¼z«¬¦h´CÅé¨t²Î¡A¼v¹³³B²z©Mµø°T½s½X¡A¶³ºÝ¹Bºâ©M¤j¸ê®Æ¤ÀªR¡A¤â¾÷µ{¦¡³]p |
¬ÛÃö³sµ² |
l
2016¦~4¤ë5¤éÀò±o¬ü°ê²ÄUS 9,305,242 B2¸¹±M§Q¡A±M§Q¦WºÙ¡uMethod And Image
Prcoessing Apparatus For Image Visibility Restoration Using Fisher¡¦S Linear
Discriminant Based Dual Dark Channel Prior(°ò©ó¶O³·½u©Ê§P§OªºÂù·t³q¹D¥ýÅ窺¼v¹³¯à¨£«××´_¤èªk¤Î¨ä¼v¹³³B²z¸Ë¸m)¡v
1.±M§QÃþ«¬¡Gµo©ú
2.ºKn¡GA method and an image processing apparatus for
image visibility restoration are provided. The method includes the following
steps. After an incoming hazy image is received, each of the incoming pixels is
classified as either belonging to a localized light region or a non-localized
light region. The localized light region is partitioned into patches according
to each patch size in associated with image sizes in a training data set.
Localized light patches are determined based on a FLD model and a designated
patch size is accordingly determined. Adaptive chromatic parameters and dual
dark channel priors corresponding to the designated patch size and a small
patch size are determined. The incoming hazy image is restored according to the
adaptive chromatic parameters, atmospheric light and a transmission map
determined based on the dual dark channel priors to produce and output a
de-hazed image.
3.µo©ú¤H¡G¶À¤h¹Å¡B³¯¬f»¨
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G¦P¤W«h
l
2016¦~5¤ë24¤éÀò±o¬ü°ê²ÄUS 9,349,193 B2¸¹±M§Q¡A±M§Q¦WºÙ¡uMethod And Apparatus For
Moving Object Detection Using Principal Component Analysis Based Radial Basis
Function Network¡v
1.±M§QÃþ«¬¡Gµo©ú
2.ºKn¡GA method for moving object detection based on a
Principal Component Analysis-based Radial Basis Function network (PCA-based RBF
network) includes the following steps. A sequence of incoming frames of a fixed
location delivered over a network are received. A plurality of Eigen-patterns
are generated from the sequence of incoming frames based on a Principal
Component Analysis (PCA) model. A background model is constructed from the
sequence of incoming frames based on a Radial Basis Function (RBF) network
model. A current incoming frame is received and divided into a plurality of
current incoming blocks. Each of the current incoming blocks is classified as
either a background block or a moving object block according to the
Eigen-patterns. Whether a current incoming pixel of the moving object blocks
among the current incoming blocks is a moving object pixel or a background
pixel is determined according to the background model.
3.µo©ú¤H¡G¶À¤h¹Å¡B³¯¬f»¨
4.¥»®Õ±Ð®vµo©ú¤H¤¶²Ð¡G¦P¤W«h
¥D ½s¡G§õ¹F¥Í²£¾Çªø ½s¿è¸s¡G¦¿¶®ºö¡B±i»A¨q¡B§f¤å·£¡B ¥»¹q¤l³øµÛ§@Åv§¡ÄÝ¡u°ê¥ß»O¥_¬ì§Þ¤j¾Ç¡v©Î±ÂÅv¡u°ê¥ß»O¥_¬ì§Þ¤j¾Ç¡v¨Ï¥Î¤§¦XªkÅv§Q¤H©Ò¦³¡C |
|
[1] ¸`¿ý¦Û¡m¯à¤O¡nÂø»x²Ä725´Á¡A¡u³Ð·sÁÙ¬O¯}Ãa?¦@¨É¸gÀÙªº·½ÀY¬¡¤ô¡v±M³X¥x¥_¬ì¤j´¼°]©Ò§U²z±Ð±Â¦¿¶®ºö¡C