Titlebook: Handbook of Global Optimization; Reiner Horst,Panos M. Pardalos Book 1995 Springer Science+Business Media Dordrecht 1995 algorithms.comple

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書目名稱Handbook of Global Optimization影響因子(影響力)




書目名稱Handbook of Global Optimization影響因子(影響力)學(xué)科排名




書目名稱Handbook of Global Optimization網(wǎng)絡(luò)公開度




書目名稱Handbook of Global Optimization網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Handbook of Global Optimization被引頻次




書目名稱Handbook of Global Optimization被引頻次學(xué)科排名




書目名稱Handbook of Global Optimization年度引用




書目名稱Handbook of Global Optimization年度引用學(xué)科排名




書目名稱Handbook of Global Optimization讀者反饋




書目名稱Handbook of Global Optimization讀者反饋學(xué)科排名

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Hiroshi Konno,Takahito Kuno Depth information adds another dimension to facial features and provides ways to minimize the effects of pose and illumination variations for achieving greater recognition accuracy. This chapter reviews, therefore, the major techniques for 3D face modeling, the first step in any 3D assisted face re

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Pierre Hansen,Brigitte Jaumard lots. Using multi-modality measurements of temperature, range, color, radioactivity and with future potential for chemical and biological sensors, our approach is based on a modular robotic “sensor brick” architecture that integrates multi-sensor data into scene intelligence in 3D virtual reality e

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S. Schaiblehis chapter describes a system accepting multi-sensory, variable scale data as input. Scalability allows for different acquisition systems and algorithms according to the size of the objects/buildings/sites to be modeled. Semi-automated tools support the comparison between the acquired “as-built” an

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G. M. Guisewite lots. Using multi-modality measurements of temperature, range, color, radioactivity and with future potential for chemical and biological sensors, our approach is based on a modular robotic “sensor brick” architecture that integrates multi-sensor data into scene intelligence in 3D virtual reality e

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