CAJ | 학술논문

在远程多维空间对象融合过程中，对象之间不一致的空间几何关系会导致观察者空间感错乱，从而造成空间对象融合的沉浸感缺失。为此，基于深度传感器获取的深度信息，克服现有融合方法操作复杂性高、可移植性差及准确率低等问题，提出一种基于几何规则的多维空间对象融合模型。建立背景深度恢复模型修复目标空间的深度缺失区域，设计多层几何表达模型，即几何块结构模型及邻域微结构模型，采用决策树方法恢复源空间前景区域的深度信息，基于彩色信息及深度信息得到几何一致的融合效果。实验结果表明，该模型能够有效降低时间复杂度，同时具有较高的精准度及鲁棒性。
재원정다유공간대상융합과정중，대상지간불일치적공간궤하관계회도치관찰자공간감착란，종이조성공간대상융합적침침감결실。위차，기우심도전감기획취적심도신식，극복현유융합방법조작복잡성고、가이식성차급준학솔저등문제，제출일충기우궤하규칙적다유공간대상융합모형。건립배경심도회복모형수복목표공간적심도결실구역，설계다층궤하표체모형，즉궤하괴결구모형급린역미결구모형，채용결책수방법회복원공간전경구역적심도신식，기우채색신식급심도신식득도궤하일치적융합효과。실험결과표명，해모형능구유효강저시간복잡도，동시구유교고적정준도급로봉성。
Towards fusing the object from remote multidimensional space, inconsistent geometry relation between objects always leads to confused sense of space,which causes the lack of immersion sense in space object fusion. This paper proposes an object fusion model of multidimensional space based on geometric rule,utilizing the depth information from the depth sensor to overcome the problem of high operation complexity, poor portability and low accuracy in existing fusion methods. It leverages background depth recovery model to repair the area of the target space which is lack of depth information. It establishes multilayer geometric model,that is geometric block-structure model and neighborhood-microstructure model,and uses decision tree method to recover the depth information of foreground in source space. It uses the color and depth information to obtain the geometry consistent fusion effect. Experimental results demonstrate that,the proposed model not only effectively reduces the time complexity,but also has high accuracy and robustness.