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Research On 3D Model System Based On Multi-granularity Style Content Transfer

Posted on:2019-03-29Degree:MasterType:Thesis
Country:ChinaCandidate:W LiFull Text:PDF
GTID:2438330545993137Subject:Engineering
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Nowadays,the rapid development of computer technology has changed the way people learn,live,and work.With the rapid development of computer software,hardware,and digital media technologies,the technical requirements for model diversity have been greatly promoted and widely developed.The model plays a huge role in many fields such as games,simulation movies,and virtual reality.Realizing the diversity of models and constructing the model diversity in the model base are important topics in the current research field.With the development of related software for model synthesis,the use of model-style content-related semantic information can better handle and use 3D models.Then we store the model in the model base to make the model base more abundant.The focus of this paper is to use semantic search to search for the models people need.With the increase of the model demand,the study of the model base has become a hot topic of the current research.A suitable model base needs a user-friendly search system that can make people search for models they need in the massive model library to be accurate and fast.Semantic search of 3D model base is an important issue that needs to be studied.Based on the analysis and research of the current model base,this paper conducts a detailed analysis of the needs and summarizes the diverse needs of models in various fields.The system was implemented using Mel language on Maya 2012.Make models using Maya's edited Mel language,which is very convenient and easy to use.This paper introduces the system's implementation process completely,and it uses some technologies to achieve the following innovations:1.The model base is orented to style content transfer.which facilitates the transformation of style content transfer.The search of the model library uses semanitic search sorting algorithms based on keyword and style content tags.The search of the model is divided into a style model path and a content model path.We store the keywo rds of the massive model in advance into the database.Each model is tagged with a sty le model or content model.The system automatically analyzes the semantics based on keywords and tags and searches the database for models with this keyword and tag to achieve the purpose of searching the style model and the content model.The priority of the model is determined based on the frequency of keywords and the proximity of synonyms.Search for the corresponding model and then find the required model based on the model preview or imported into Maya.2.The paper proposes the transfer of multi-grained style content,which makes the model more stylized in style transformation and makes the model transformation more automatic.The core content is to extract the bounding box of each part of the model under the style path.This bounding box is used as the bounding box of each part of the content path model,so a new model is synthesized.Different from the style model,the content model is divided into blocks after the block,and each block is deformed to make the model more stylized.3.This article generates a geometric model system based on multi-granularity content transfer.The system mainly includes three modules: model base establishment,model search,geometric model generation of multi-grained style content transfer.The transfer of style can not be separated from the introduction of the model.The import of the model requires sufficient model library reserves.These three modules are fundamental to the realization of the system.
Keywords/Search Tags:Mel, model, multi granularity, style and content, model base
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