PARAMETER IDENTIFYING METHOD FOR STEREOSCOPIC SHAPE FUNCTION
PURPOSE:To avoid convergence to a local minimum and to set each parameter to a true optimum value by correcting the size of the inclination of the respective parameters in an evaluation function in correspondence to an importance degree to the specification of a shape. CONSTITUTION:When observing da...
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| creator | HATANAKA HIROSHI KIMATA NAOHIRO MATSUSHIRO NOBUHITO |
| description | PURPOSE:To avoid convergence to a local minimum and to set each parameter to a true optimum value by correcting the size of the inclination of the respective parameters in an evaluation function in correspondence to an importance degree to the specification of a shape. CONSTITUTION:When observing data are inputted, at first, an (i) which shows gradually changing stage is caused to be (i)=1 and an initial value X1 of a parameter group X1 is set. Next, gradient f(X1) of the evaluation function is obtained from the initial value X1 and inputted observing data. On the basis of an expression I [Xi+1=Xi-C. f(Xi)], a parameter group X2 of the next gradually changing stage is obtained. On the basis of an expression II (¦Xi+1-Xi¦ |
| format | Patent |
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CONSTITUTION:When observing data are inputted, at first, an (i) which shows gradually changing stage is caused to be (i)=1 and an initial value X1 of a parameter group X1 is set. Next, gradient f(X1) of the evaluation function is obtained from the initial value X1 and inputted observing data. On the basis of an expression I [Xi+1=Xi-C. f(Xi)], a parameter group X2 of the next gradually changing stage is obtained. On the basis of an expression II (¦Xi+1-Xi¦<kappa), ¦X2-X1¦ is obtained and size comparison is executed between this ¦X2-X1¦ and the kappa. When the ¦X2-X1¦<kappa is not satisfied, processing is executed in a stage that the evaluation function is not converged to an extremum. When the ¦Xi+1-Xi¦<kappa is satisfied, the Xi+1 at such a time is deter mined as a parameter group P to give the extreme value of the evaluation function f(X1). This determined parameter group P goes to be an identification parameter and determines a stereoscopic shape function.</description><language>eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>1990</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=19900301&DB=EPODOC&CC=JP&NR=H0261778A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76293</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=19900301&DB=EPODOC&CC=JP&NR=H0261778A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>HATANAKA HIROSHI</creatorcontrib><creatorcontrib>KIMATA NAOHIRO</creatorcontrib><creatorcontrib>MATSUSHIRO NOBUHITO</creatorcontrib><title>PARAMETER IDENTIFYING METHOD FOR STEREOSCOPIC SHAPE FUNCTION</title><description>PURPOSE:To avoid convergence to a local minimum and to set each parameter to a true optimum value by correcting the size of the inclination of the respective parameters in an evaluation function in correspondence to an importance degree to the specification of a shape. CONSTITUTION:When observing data are inputted, at first, an (i) which shows gradually changing stage is caused to be (i)=1 and an initial value X1 of a parameter group X1 is set. Next, gradient f(X1) of the evaluation function is obtained from the initial value X1 and inputted observing data. On the basis of an expression I [Xi+1=Xi-C. f(Xi)], a parameter group X2 of the next gradually changing stage is obtained. On the basis of an expression II (¦Xi+1-Xi¦<kappa), ¦X2-X1¦ is obtained and size comparison is executed between this ¦X2-X1¦ and the kappa. When the ¦X2-X1¦<kappa is not satisfied, processing is executed in a stage that the evaluation function is not converged to an extremum. When the ¦Xi+1-Xi¦<kappa is satisfied, the Xi+1 at such a time is deter mined as a parameter group P to give the extreme value of the evaluation function f(X1). This determined parameter group P goes to be an identification parameter and determines a stereoscopic shape function.</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>1990</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAJcAxy9HUNcQ1S8HRx9QvxdIv09HNXAIp4-LsouPkHKQQD5Vz9g539AzydFYI9HANcFdxC_ZxDPP39eBhY0xJzilN5oTQ3g4Kba4izh25qQX58anFBYnJqXmpJvFeAh4GRmaG5uYWjMRFKANsgKa4</recordid><startdate>19900301</startdate><enddate>19900301</enddate><creator>HATANAKA HIROSHI</creator><creator>KIMATA NAOHIRO</creator><creator>MATSUSHIRO NOBUHITO</creator><scope>EVB</scope></search><sort><creationdate>19900301</creationdate><title>PARAMETER IDENTIFYING METHOD FOR STEREOSCOPIC SHAPE FUNCTION</title><author>HATANAKA HIROSHI ; KIMATA NAOHIRO ; MATSUSHIRO NOBUHITO</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JPH0261778A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>1990</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>HATANAKA HIROSHI</creatorcontrib><creatorcontrib>KIMATA NAOHIRO</creatorcontrib><creatorcontrib>MATSUSHIRO NOBUHITO</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HATANAKA HIROSHI</au><au>KIMATA NAOHIRO</au><au>MATSUSHIRO NOBUHITO</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>PARAMETER IDENTIFYING METHOD FOR STEREOSCOPIC SHAPE FUNCTION</title><date>1990-03-01</date><risdate>1990</risdate><abstract>PURPOSE:To avoid convergence to a local minimum and to set each parameter to a true optimum value by correcting the size of the inclination of the respective parameters in an evaluation function in correspondence to an importance degree to the specification of a shape. CONSTITUTION:When observing data are inputted, at first, an (i) which shows gradually changing stage is caused to be (i)=1 and an initial value X1 of a parameter group X1 is set. Next, gradient f(X1) of the evaluation function is obtained from the initial value X1 and inputted observing data. On the basis of an expression I [Xi+1=Xi-C. f(Xi)], a parameter group X2 of the next gradually changing stage is obtained. On the basis of an expression II (¦Xi+1-Xi¦<kappa), ¦X2-X1¦ is obtained and size comparison is executed between this ¦X2-X1¦ and the kappa. When the ¦X2-X1¦<kappa is not satisfied, processing is executed in a stage that the evaluation function is not converged to an extremum. When the ¦Xi+1-Xi¦<kappa is satisfied, the Xi+1 at such a time is deter mined as a parameter group P to give the extreme value of the evaluation function f(X1). This determined parameter group P goes to be an identification parameter and determines a stereoscopic shape function.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
| title | PARAMETER IDENTIFYING METHOD FOR STEREOSCOPIC SHAPE FUNCTION |
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