Formation en Photogrammétrie
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQsAAAAzCAYAAACACy0mAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAABnjSURBVHhe7Z0HdBVFF8dv6C303kGkC6KggH6ggAVBRMGOAir2LigWVGxYsBcUO3YOCkgRVCyggIBSpXekdwiQSr79Td4Nw7LvJQESwTf/czYvb3d2dmbf3jr33o2JS0pOnbhxlxzXSE2VInnzyBlli0qumNC+/zA2btwoRYoUkcKFC4f2ODhkP2LmbY9LbfjVdENwEnOcUlpyilQsEysrujaTfP9hbpHq/UYvv/yy9O3bV9544w258cYbQ0ccHLIfMQt27EmtN/yv455Z1CsdK7M6NflPM4sePXrIH3/8IXfffbd069bNaRYOOYqoYRb79++XpUuXyt69eyUlJcWbaoyR1DVr1pQSJUqYNgkJCTJ//nwpX768VKhQwezzIzk5WX7++WfZsmWLNGzY0Gz0RZ8LFy6UsmXLSpkyZUKtRdauXSt79uyR2rVrm+/8v3z5cjnhhBOkUKFCZh9j4lzGkzdvXsmVK5ckJiaa7+XKlTP9LVmyxFy3UaNGUrVqVdm9e7dUq1ZNihUrZvpwcMhuRA2z2Ldvn9StW1e2bt1q7H2IGwwfPlzOPPNM8/97770nvXr1ktatW8svv/xi9tmYOnWqXHvttRIXF2f6WL9+vfTv31/uvfde2b59u2EyfMdMUFx33XXy66+/yrJly8x3/m/btq3pX687c+ZMadeuneTOndv0DUOKjY01zKJfv35y/vnny0knnWT6BzA1MG7cODn11FPN/w4O2Y1coc+oAI7Bnj17ypw5c2T27Nlma968eeioyOeffy7Vq1eXadOmGUluY/Xq1Yagkexz5841msCkSZOkU6dO5jiEjTagTEiRlJSUTtwADYc2fCoaNGhgGAbjueiii4y2MGvWLLPdfPPNsm3bNnMO/oo///zT7KftySefHOrBwSH7EVXMAnMBM4GtYsWKZsuTJ485tnLlSpk8ebI8//zzUqBAARk5cqTZrxgwYICR+J9++qmUKlXKmAoQa61atUItxGgG7LfBPr0GYAz2J8iXL58xLTB9MIm4fpUqVcy+ggULpjMWzA7MkkqVKpmx07eDQ04hqpgFhLxr1y5j7+/cufMgiT9ixAhDtF26dJGmTZsaLUMBsXL83HPPNYScnUCDQEuxoYwFDQP/BuNHY3FwyElEFbMoXry4vPXWW0btx+E4ePDg0JE0E+SCCy4wDOWKK64wZsGqVavMsR07dsimTZuMifJvQLWVK6+80jhGGcegQYPMPgeHnEJUMQuch/gEPvroI/nkk0/kwgsvNPv/+ecfmT59ujRu3NismKDqgzFjxphPNAvbxxAJtnkB/N8PB6pp9O7dW9555x15//33pX379mafg0NOIaqYBQ7IevXqSZs2bYxJoZoCqwrgpZdeMg5PnKDg22+/NZ8lS5Y0/oRFixaZ70GAoNn8TEX3Hwn0/PPOO884VDt37iwnnnii2efgkFOIKmaBlLf9FAo0jdNPP90sjU6ZMsV83nTTTTJhwgRZt26dMQOuuuoq+f77703cRBDwd0DUrLjYWLNmzSFOT8DSq4PD8YSoYhbEWvgdg6yC/P777yZ+An8AEptALeIjWP0gDgM8+OCDUqNGDTnrrLNk7NixsnjxYuM3wAcCiItA8r/99tvGxMGsefbZZ+Wnn36Syy67zLQBqnmMHj3aaC70j7kTHx9v9qP9ME4bes4333wjX3zxhfGvDBkyRBYsWGD2OzjkBKKGWaBVYIKwbGqD8GnMkQ4dOoT2pKFJkyZyyimnyIwZM8x3lksnTpxogqMItYZpYLZA3IoPP/zQ+EFuvfVWE3j1wgsvyAMPPCBPPfVUqEWaRgHTwfdADAVtOa6mBkuiGu2pIKybc+ifUG+2++67z0R0OjjkFKIqNwRNAZPANgswS/yxEAoImOP+5VKiQNEEIOwgBybHWZqFMfnNDfr0B2UxHr2+Lp3a49Fz+GRTMG4Xa+GQU3CJZA4ODplC9pghCL+gzcHB4bhFZGax36PwxORDN/ajifj3J4dUa0/SH7J5arQ5x0aK197fh70lhD4dHBz+dYQ3QzzCb1q+qPSoVU5SbDvZa/P6/HWyJSFJHj25amhv2v6JG3bKpI07ZXDLWpLL+74/dB52Pcf7/bVKZnjHJY9nZ3sMpEO10tK1emlJtvpPH4H3z+6kFJmwfoeMXr4l7ZxwFobXlzNDHByyF+GZRXyS3Ny4igxqcSBRStF2/DxZsydBFl9ycHr0sJWbpe+fq2Rpl6ahPQfj4p8WyIglG0Xy5zH9D/CYSt9GVUJHw6PP9OUycOZqkXyHOiENHLNwcMh2hDdDPMIctXqbXP7LQtnuaREAT/ydfyyTaRt3yZrd++S2qUvZKwmeiXHNpMXS3yPotXsTpNWoWTJy9VZzDvh8+SZpPXq20Tokb8h77/U/aOF66TRhfnr/4A6v/w5j58iEdTtCe0SeaFJNKhYvlGa2HAFY2SARyx/HYIM4DNr4N3sVQsGKBn1FauNPUQesbHCettd+7BUSztPYi3CgDan04QLFFCSgUXCHMUYCAWSEu9vjULCP8ehcg9owT38ci3/+zJm5cg8ULD9rv2wUCMpo7g45j/DMwpPQa3fHy9AVm2VfiEh5tMf8s13iEhIlPjFZxqzZbvaneAeGrdgi8zbtlvjkVJm0cossjzvwgCzeuU8mev1s3ec9SCr5vc/V3v5Ra7Z5zOYAkU3etEvGLt4gvaYskcTQA1XQM0FqFimQ5is5TPDwnXPOOVK/fn1TBIdYBqI0N2zYEGqRBmIeqH7FcTaCtLp27RrICKh7QdxFnTp1TFtSyG+44QazdKp45JFHTLCWDSJBOY+AMEAAF9//+svT8EJ48sknpVWrVma5NwjEXDC2li1bSrNmzczcIHQbLN8SXMbYyKQlnf7qq682TMEG1cEo+ENcyf/+9z8zH4K/bBAAxhj13hGbQl82oyKE/rHHHgt9S8Ojjz5qwusVBLPRjx0jQoKcJvfpPee8cIDRfPDBB6bo0Jdffhna65DdiOzg9Ag61tMAbOskFs2AHd5m/vfA4aL5vP/zeN3xxTvHNgfy5/b2Y0JY+wy8/fRh9298pB5TKOIxCI1hiEtKlqW7PG3Af34WALETyk1lqY8//thEZBLOTbUqMkoVPMyEbBOJSeAUGw9uUMg26e5UwCJAigxWqmyR5HXJJZekS1iS1CiUYwMi5jyVniS48Z1PBUQIEQcxKWpqwASuv/56+e2330wkKGX+IEq0CAXM8LPPPjNzoDIXQWSMGcmtoNoXAWZoCt99950JPCNNn/B20vIVSHyYEXOkotjtt98uw4YNk44dO6ZrajAU5muD73akKW2ZK+NQUNCHoDf61fvO/IKAFkLgGwFv3OM777zTMPNwTNXh6CEys8hxpEr3WmWld4ta8lmrOpLXI9BdHqN4YMZK2eBpOTCXIwGBTmgNEAfJYjAP0tCfeOKJUAvvhnjXpOYlREBUJ592NS0bykBIbWejBB6SFYLTpDNyRihgY0MDrvR8DayyA6yCzgMwGJgTpfa4HloAWsPQoUONxvDmm2+adtS8+Oqrr6R79+6G+KnwRer9qFGjjHaggIFs3rzZFPuhH6Q6YeoU9kFyK9NTxo0Gw7Xvv/9+efHFF03VLtWIGG/+/PnN/wq+2/PwzxmwD42CfrnfMAN7jDbQwmBqhLy//vrr8tprr8nXX39tmLxD9uIYYxYi9zaoJC+0OEFOKpFWuXrm1j3yMU7RowAeeNt+himQso709dvVWYFtX2t6u227+6M8jyTqEm0DTejiiy8O7UkDRE5IuKbVU/i3dOnShrAo/xcOaCWYMWTW2oDBrFixIr2mh8K+T5mZq/97OAT5QIJQtGhR88m8AOYMhY/tIskO2YN/h1lE8D28s2i99Ju+QqZsTlNTW5cvJr92aCTFC+bjiTL7jiaQaBS3UfWdPAxMAGx3TBS0EFT1SMCsQJJTmxOpTCKaSkbCvanfiZ3OhoRHdYaIMktINugL+HNcAKX4GDs2PSHqSF60BnwfJMnhPyGLVoFpwdwqV64c2nMAhLIDuz1grphLaE74VSBS8mgAxYXwITBHnSvaDfsjgZqj+HHwm+CDwRcSDvSLRvPwww+b/Bv8RiTlOWaR/cgcs7Bo2ybzrMnfELwHuXKxwlKhiKeaHkL8MfLmwvXy1OQl0mbsXJm7Pc22PrVUrNxQt7wnwo4+s1AprwlhEBqSipR1ttNOO+0Q1Vqh5yKFcZyqhEZaq+pNvzAMXgikG6r84QLzBARpP1wHBqCSHrMDf8Fzzz1nfAJPP/20tGjRIt0RivqPSRQk1fU1BepbUPMBXwJzxUzhOhCqvo4ADYtkPXwlzJNPvtuaVxDwN6AFcf8w+ShCFA5cE58S8yGjF6fq2Wefbfwrfueqw9FFxszCeiaRgykmetP7x9uSQxpC6GtYmGP8SU6R8kULS9tq5aQA/gdvn/+ZL4YjtGB+iY+Ll2mbd4f2ijQtVSRtAEcZqNmo7PruEB5sCH7gwIFGglHA16+iK5TIWEHBhqbgL846PPsK1HYI4Y477jAbjsFLL73UEHtWzR1AsV5gO2UVODkZq83cME3wLyCBGSOaCfMCaB8U9QlaelUmoa8f0LE+9NBDxmzDtKFKOsxUgfMSv8dtt91m5sonDmV1gIYDmgr9cM/xoTDecOD+8TY2soFxKvP7UPWcsgG8ZsEh+5Ahs0jwGIIunaI2Ny8T6+1MC8M+vxIEFiM7vP/3sIyBWs1D5R1PsGIikmAqSclSvHBBaVm5rLAgmshxb/9eT5LbNLOPfhKTpGRxT7pzrRA27PMkf9Zp6yDwwNvZnADbF8mktnBWoASE+ozZwtKjSmAF98yOKQD2qkckcC6MzAbmBKaS2uwKmBLORlZEwpk3LFHCIGyz6owzzjD1RjGjbOALQFNBMwA6VzQT5gpT8I+N69o+DcD3cONRBN2jIMCcWdKF2bJ0y8oMDIP3tAwZMsTMzyH7EJlZ5IqRxPhEmZou4VPl1dNryOBz6stH5zaQgc3SytJNWL9T9hpiTpUqRQrIW97x9oaRpOGKGqVlaIdGMqJtPelTu5TcWqO4lMufW86sUkJGtqkvJQscIGD6HN6xsczs3EQahpycezyNZPCiDZ7en7EilBGIgYBYeO8GRWmQxna9CR5clhYJdmLDy47abjvxFEpAkYifB9xPCHpeuE/A/2g5LDOiDRCToS9EZhWE1QtWNgCmB7UxUOdZwQD4GjA78C3QF0SL1KbPa665xrQB99xzjxkjNTJUA0Clx/fAdfQViTo2e9nVD+bpN2n88w+aK/ec34H7zD1nzH7HKoAR4x9hyZv2AIYB82J+BJ45ZB8ypj7vB+o/c5UJ7/Z+VinsSeZedSpI9xPLSx7v2Jxte+TB6SsMYyE6q0LBvHJLvYpSj4jLEOoUKySX1iwrrcvGSvNShaWFt5XMl1vqem06Vikp+SxpfFb54tK5ehmpWjithgQBXZ1//Fvmw7CI4zgCoKJTQg/HG9oAKwvjx483trICYuRBxG7GLmdDRfYHbwGVmJEkJw94kLYR6RNApEh71HjGwgbxAwrqoKpD9CwFI/2ZB74SllIB52J2cD7BWGwQP6o+PhYF58J0OB/ziY3lVvq3zYGgMfoRNFf/vqB++F1gADpP7jnaQxDQJGiPFocWhSMZBsbc1PHpYi6yB5mrZ5GUIpWLFpSetctJk5KFjV9hm2dq/LZxl3ywZIPsjvekLolenllRokBe6VC5pOnqgOw4AK4AXxm/dof5v2npIt5ph7bkYdrpmTczt8ZJ3F5Pa8GXEQ6ZyA1BwrEUiPTkYcLsYNXCD5gCryK0NQkedojQr3bzkBLbgEoc7n0iaDFIfswHBf4AJD/Xx2HJcbQHXiqkjkV8EmhB6ngFLFWqDwEgSTEhYCyYE5T28wPTBO2IOWBCqM/DD7QjygvCZJDe9ngBGgnaDSsuqm34gWbAMfs9scyf+6QvY0ID4HdgHDpe+uUeKJHz2+N3YaUqCLQjGA0thH5YFaE9WhirNTCcI1medghG5ovf4GPAnwAxGk7gtccXkdeTGrY0YX9ixvZneo6IR+hhwXUwPcIwgHS4RDIHh2zHwTpjJEC0ZItC5PzPJ99tRgEgcPZntEHUbGgM4Tau4YjfweGYQOaZhQ1Hvw4OUYfDYxYODg5RB8csHBwcMgXHLI5R+OMVjgXYsREZ4Vgcv8ORIaqYBcFBBCYRfciyXLt27Uz9CX9QFeHPFLFhDZ+4A/IcNM6CYC7iFDQlmmU8QpBJZyfpjI0YDmozAIiGwCH6s4OTOE7uhB9ETpLvwPgYJ+HMunzKm87INiXiVK/Fm9TsZV7qQZDTQhYq7XhjGoly4UDcgt2eUGp/e5ZfqdHBmIiBoBZIuOCsd9991/RHW8ZH7IeCuA+iLP3h3yy5kpYeFOZN6j05LkHX43eilgXFhex7z7KqgqVlfi/GQ2wGYeh///136KhDVhBVzIJsT60FwYNJLAFZonbAFbELECkZpORBEOFIRqoyFIq58BpBzc2AGUD4RByS3UksA5mTGhzFcV5RCFPiwVfwPlV/lSeIiUAj4hQIwIIBETugAUzkYxBdSRAZcRVci4Axjf8gMOmWW24xEY2EQBOwRZEY4hqC0L9/f8Ow6Iv2BKsRtMU1FeS6cJz5P/7446Z/GAIE6k8Q4xiRpIyb8cOA7GuTz8Gc7dgRwD4S0hirP3KT65O56j8HwNSoZUEIv33vNWMWpgADIaalT58+JoiNe0jxI4esI2peMkRUJmnMED/ahYKHUDM5AdIVhsEWFNhDKjWEQuEcMiQ5n4hCJNaAAQNCrQ4AzQPtBIZDUBVSmof7rrvuMoSvxAHzISirR48eRjsIAsRIdSrSzv1A8pIMd/nllxsNRIHW4Q8mA0h3xs0b2e0SenZ7zA4YE4zCrvZFUhraAynwaFWARC6YBHOiRkgQiK7k3hO2rrk4XIO0c5gekaQwPJi6Agb1zDPPmPvjT3Uno5YMWPJkEAB+EPpOkhkBX3YBnnD3xCEyokazUMmExmCr2TajQKJSfo6HLCsRgHbochAgNogYxkDtTOA/B22F6EbN7cgqYEr0SVSj5k2AcEShJhEmgM187PZoBUh2TB0bEDaMjexTBeYO0ZThGEU48HugAaDp0S/aVVYRzpei5hmp7DYcozg8RA2zQDVFmv/4448mPLtnz54ybty40NE0kCsCUMezAvJJyK0gZwPNRUvbKZD6SEA0AyQn8NfIQFoT6h0uHBtwDqHiMJTevXubDSkNqCmBL4EXPUPIFJAh2SwcGDNmFqYB7fEloBXYhKeJWdwvPwjfJkxb2+Mb0CI4WQGaEin8+Ifat29vxu8vuJMRYFTce5LhbB8Jvib6plQfJgomlr9YsUPmEVU+i1deecXYvzw42K08nDjIUFOBVsvyE3JGwKzA70E9C3wRynRskHPBAw1xo0Vo/QwF+Sioyv4Uehvkd+ADgaC4DpvtLERlh+BxkEKEmBio5+EcnDAuiIs2+FVwnmJi6X1Q7SNoTJgEMC60IdrBEMPljEQC/gocmIAsYLQj/BeZgWpnaFPce+6L7fPAvMFchLny++C3QBD40/sdMoeoYhaAB5KHBU86zjgcZLpyQfUl4F8dyQgQozrPeDj9mgWAsOgfiU95O5iHbQJxjOsGOfIUMAaIlIQvPP5sfqmPGQDDYH6o9mg8MMlwYBUCRkF7nJw//PCDsfOBJoQp87DBWGEOzAGTjaSwoHaRgB8EQscP1KlTJ2PuoKnY2kEkqFZDtqnee3xHNtCAOI6JiSYJw6XaV1Z/Y4coZBYKCOHVV181/2OXA5bWAOnSWQESTjMmw0GlNCsQ+AIgSrvgDpmTSOl58+aF9hwKrgOBZCaGAfWbcnpoK5gaGQFmhYMW80Tb8x4U7HuYkx9UySL9XdPPWbJE07GXcTMCTIr+MRMwhTBFWMmh4pXfiRvJh8R9ywiME62JJWy0jCAnsUNkRA2zIN3bfrENUJtea2Li12ApkdgGpJSC5VItMxcOMAuImE3/t6HfWa5FC6GkvarRAI2AlHW0HdtBid/Ajs+AWaB90B/7tV/Ghz/GZlowJLQRzBI/0GxobxM3jkAkrrbHD8L94D0l9moI7/WA4PDPKPCf0Cf7VOKztOpfCgXKYDAFIWAkP/EdaEAwOMaARqSgP+0T2P8D5sB9YGP+ehzTBAeugnuBdsFvEFSk2CEyooZZ4HFH1eVBQfVGEmKSQJx2NWkeWAiX9XrW7ol7oD4CqjJQ4lKi5MGE6Hl/BfUukcbqMAQc0+rfCnwXQJ2TAOcmzAtCIYAIfwqaDoxMy+BxLVR9VGuuw4YZgkOQjYIxzA9JjaaCL4K54Vj1A+2G+dOeJU/acy38B9TOVEC8jAU/D/3Tjv7wj9hMiGAtlmyJJyG+gveoUFgHp7IyO4gVBoK2gwZFRSxWiWzgJOW4bcpxr+mf2BXmzm8GlCmgLei9p94GsTMAps+yNVXa+c25rwgNVlzcikjW8Z+Js6hbOlZmR4iz4MHCbkViISUpVsMDTVxFEGjHy4IgYg2AwvEJ4bK8CmGh6iPNeFcHDkpVh2EQmDkQIdfFL4LWoGYOoH80BB5iGzALnJM4SdF0kLwQCdKYGA3229GMXAsnLb4MpDiSkzao7RBzUPyBgoI72p7+mROMIQgwMnwk3DeYrl1dzAaaEPOFKCFUxq+vLSD6FQYBk2IlBclPX5g+Nri/aFfMi9+KlRbuizIHjQ5Fm+Lew4CUeXM/cGKyDMt+tEnMIxgzK1LdunUz8SUOWUfMvO1xqQ2HTj/umUXlMkVlWZemrviNg0M2IWZPUnLq1M14huHaxyehUZaPd6Y287QLxyscHLIDIv8HmcMcd/7P/vQAAAAASUVORK5CYII=)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Accroche introductive
La maîtrise des techniques de la photogrammétrie, pour (re)donner vie aux objets par la 3D!Accéder aux sections de la fiche
Call to actions
-
Intitulé du programmeFormation en Photogrammétrie
-
mnémonique du programmeFC-662
-
Programme organisé par
- Centre de formation continue en Technologies et en Sciences
- École polytechnique de Bruxelles
-
Type de titreformation continue
-
Accessible en reprise d'étudesoui
-
Type d'horaireEn journée
-
Langues d'enseignementfrançais
-
Durée de la formationmoyenne (6 à 15 jours)
-
Catégorie / ThématiqueSciences et techniques - Sciences de l'ingénieur et technologie/Sciences et techniques - Architecture/Sciences humaines et sociales - Information et communication
-
E-mail de contact
-
Téléphone de contact
-
Renseignements supplémentaires
Présentation
Détails
Informations générales
Type de titreformation continue
Durée de la formationmoyenne (6 à 15 jours)
Langue(s) d'enseignementfrançais
Type d'horaireEn journée
Catégorie(s) - Thématique(s)Sciences et techniques - Sciences de l'ingénieur et technologie/Sciences et techniques - Architecture/Sciences humaines et sociales - Information et communication
Faculté(s) et université(s) organisatrice(s) Accessible en reprise d'étudesoui
TarifsTarif plein: 1.500,00 €
Tarif étudiant: 500,00 €
Conditions
Appareil photo en bon état de fonctionnement.
Je marque mon intérêt
Responsable Académique et Intervenants
Responsable académique
Olivier DEBEIR
Intervenants
Sandrine CARNEROLI, Henry-Louis GUILLAUME, David LO BUGLIO, Arnaud SCHENKEL
Olivier DEBEIR
Intervenants
Sandrine CARNEROLI, Henry-Louis GUILLAUME, David LO BUGLIO, Arnaud SCHENKEL
Présentation
Objectifs de la formation
Maîtriser les différentes étapes de la photogrammétrie: de l'observation de l'objet (bâtiment, statue...) et de la prise de photos jusqu'au partage d'un modèle 3D via différents médias. Cette formation confère une maîtrise pointue et complète de la photogrammétrie.
Horaire
En journée
Les mercredis de 14h à 18h pendant 12 semaines
A partir du 6 mars 2024
Date :
A partir du 6 mars 2024
Date :
- 06-03-24
- 13-03-24
- 20-03-24
- 27-03-24
- 03-04-24
- 10-04-24
- 17-04-24
- 24-04-24
- 01-05-24
- 08-05-24
- 15-05-24
- 22-05-24
- 29-05-24
- 05-06-24
Les + de la formation
- Une formation donnée par des experts, membres d'une équipe pluridisciplinaire (PANORAMA)
- Une formation complète pratique et théorie
- Un projet de fin de formation avec feedback des experts
- Du matériel de pointe pour des réalisations de haute qualité
Partenariats
Calendrier & inscriptions
Pré-requis
Aucun pré-requis.
Public ciblé
Les travailleurs, indépendants ou employés, actifs dans les domaines tels que l'architecture, l'urbanisme, l'archéologie, les jeux vidéos, la 3D... Plus généralement, toutes les personnes manifestant de l'intérêt pour la photogrammétrie.
Calendrier & inscriptions
Programme
Formation théorique et pratique complète:
- Acquisition: maîtrise des paramètres nécessaires à l'acquisition optimale des données de reconstruction photogrammétriques.
- Pré-processing: méthodes de prétraitement des photographies acquises pour optimiser la qualité des reconstructions.
- Traitement photogrammétrique: apprentissage et mise en pratique de reconstructions photogrammétriques : chargement des données, configuration du programme, recalage, colormap, traitement des erreurs...
- Post-processing: corrections et modifications des résultats, génération de texture tierce et obtention des modèles.
- Exploitation des données: application des différentes méthodes de publication et d'exploitation des données générées pour passer au modèle finale de la présentation publique.
- Aspects juridiques: questions de droits d'auteur et du patrimoine.