目前主要的可见性判断及剔除算法相关的研究热点包括： Erikson.C

目前主要的可见性判断及剔除算法相关的研究热点包括： Erikson.C等提出了一种新的基于 HLOD的算法，利用多处理器硬件环境，使用并行计算处理场景的动态变换，加速绘制[3]。T. A. Funkhouser 等通过成本启发策略快速判断模型的可见性信息，从而决定如何选取合适的层次细节模型[4]。Ali Lakhia以 T. A.Funkhouser 研究的基础上，利用 HLOD 和时间连续性，实现了更有效的层次细节判断方法[5]。而 Jean Pierre Charalambos关注于动态场景中，每一帧场景的变化更新问题[6]。

結果 (英文) 1:

Current visibility estimation and removal of main algorithms related research focus includes: Erikson.C, proposes a new algorithm based on HLOD, use multiple processors and hardware environments, using parallel computing scenarios and dynamic transformation, accelerated rendering [3]. T. a. cost heuristic strategy Funkhouser to quickly determine the visibility of the model information to determine how to select the right level of details [4]. Ali Lakhia t. on the basis of A.Funkhouser, HLOD and time continuity, and achieving a more effective level of detail method [5]. Jean Pierre Charalambos focus in dynamic scenes, scene change each frame update problems [6].

結果 (英文) 2:

At present, visibility culling algorithm judgment and related research focus include: Erikson.C and put forward a new algorithm based on HLOD, use of multi-processor hardware environment, using parallel computing to handle dynamic transformation scene, accelerated rendering [3 ]. TA Funkhouser and other strategies inspired by the cost quickly determine visibility information model to determine how to select the appropriate level of detail [4]. Ali Lakhia to basic TAFunkhouser study on the use of HLOD and temporal continuity, to achieve a more effective level of detail to determine the method [5]. And Jean Pierre Charalambos focus on dynamic scenes, scene changes every frame update problems [6].

結果 (英文) 3:

At present the main visibility culling algorithm judgment and related research issues include: Erikson.C proposed a new algorithm based on HLOD, using the multi processor hardware environment, the use of parallel dynamic transform calculation processing scene, [3] acceleration. T. A. Funkhouser through the cost heuristic strategy quickly judge model visibility information, to decide how to select the appropriate level of detail model [4]. Ali Lakhia to T. A.Funkhouser based on the study, the use of HLOD and time continuity, achieve a level of detail more effective judgment method of [5].Jean Pierre Charalambos focuses on the dynamic scenes, update problem of [6] changes in each frame of the scene.