Plausible multisensory modeling of 3D deformable objects for interactive applications

用于交互式应用的 3D 可变形物体的合理多感官建模

• 批准号: RGPIN-2014-04953
• 负责人: Cretu, AnaMaria
• 金额: $ 1.82万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=648291
• 关键词: Plausible; multisensory; modeling; 3D; deformable

The introduction on the market of 3D enabled technologies, such as 3D displays, 3D glasses and of various means for interaction with virtual environments (gloves, tactile feedback equipment, etc.) places an increasing pressure on the research community to develop enabling technologies for 3D contents. To fully reach their potential, interactive environments need to go beyond the modeling of software generated objects by introducing plausible representations of 3D objects based on real measurements. The rich interaction behavior exhibited by real-world objects depends not only on how objects look, but also on their properties: how stiff they are, how their surface feels and sounds when touched, or how they deform on contact. The development of interactive models for the complex behavior of objects based on real measurements has not followed the rapid progress of visual and audio realism achieved in the entertainment and computer gaming industry. Rising up to this challenge, the long-term goal of this research program is to develop enhanced sensing and modeling techniques for applications that require higher realism by means of plausible 3D object models based on real multisensory measurements, along with their integration, representation and interpretation.**From the multitude of aspects involved in this long-term objective, this original research program focuses on three major aspects: (1) the acquisition and integration of visual, audio and tactile measurements into realistic, coherent 3D models; (2) the rendering of the complex behavior of such objects; and (3) the integration and evaluation of multisensory object models in the context of specific applications. More specifically, human visual and tactile sensing approaches, tactile and visual sampling strategies using various sensors, vision algorithms and computational intelligence techniques will be adapted and refined for use on real measurements. They will be advantageously combined for the formulation of novel object models based on multisensory visual, tactile and audio data. Original computational intelligence methods will be proposed to allow for an efficient use of various sources of information on the object behavior and for the seamless merge of multisensory models in interactive environments. In an initial stage, a dedicated interface will be implemented for the visualization and evaluation of the developed models. Next, the models will be validated in a Cave Automatic Virtual Environment (CAVE) where small imperfections become immediately perceptible. Models will finally be integrated into two practical applications, one for phobia treatment and the other one for safe model-based object manipulation of deformable objects. **The proposed program will contribute the theoretical and practical knowledge required to build the next generation of interactive applications that will rely on plausible 3D contents acquired from real measurements, instead of hard-coded, approximate computer-generated graphics models. Advancements in this area of research will have a significant impact on interactive applications that require higher accuracy and improved realism. These include, beyond the two applications above, interactive environments for training, interactive virtual prototyping for precision-sensitive industrial CAD-based processes, smart manufacturing as well as dexterous manipulation applications such as robotic assembly, tele-robotics, medical and assistive robotics. This research work will support the training of highly qualified specialists with cutting edge approaches and technologies, who are in demand for the strong multimedia, gaming, and virtual reality industry in Canada.

3D技术在市场上的引入，如3D显示器、3D眼镜和与虚拟环境交互的各种手段（手套、触觉反馈设备等），给研究界带来了越来越大的压力，要求他们开发3D内容的使能技术。为了充分发挥其潜力，交互式环境需要超越软件生成对象的建模，引入基于实际测量的3D对象的合理表示。现实世界中物体所表现出的丰富的交互行为不仅取决于物体的外观，还取决于它们的属性：它们有多硬，它们的表面在触摸时的感觉和声音如何，或者它们在接触时如何变形。基于真实测量的对象复杂行为的交互模型的发展并没有跟随娱乐和电脑游戏行业中视觉和音频现实主义的快速发展。为了应对这一挑战，本研究项目的长期目标是为需要更高真实感的应用开发增强的传感和建模技术，通过基于真实多感官测量的可信3D物体模型，以及它们的集成、表示和解释。**从这一长期目标所涉及的众多方面来看，这一原创研究计划侧重于三个主要方面：(1)将视觉、音频和触觉测量数据采集并整合到现实的、连贯的3D模型中；(2)这些对象的复杂行为的渲染；(3)多感官目标模型在具体应用中的整合与评价。更具体地说，人类视觉和触觉传感方法，使用各种传感器的触觉和视觉采样策略，视觉算法和计算智能技术将适应和改进用于实际测量。它们将有利于基于多感官视觉、触觉和音频数据的新对象模型的制定。将提出原始的计算智能方法，以允许有效地利用关于对象行为的各种信息来源，并在交互式环境中无缝合并多感官模型。在初期阶段，将会实施一个专用的界面，以对已开发的模型进行可视化和评估。接下来，模型将在洞穴自动虚拟环境（Cave）中进行验证，在该环境中，微小的缺陷会立即被察觉。模型最终将整合到两个实际应用中，一个用于恐惧症治疗，另一个用于基于模型的可变形物体的安全操作。**该计划将提供构建下一代交互式应用所需的理论和实践知识，这些应用将依赖于从实际测量中获得的可信3D内容，而不是硬编码的、近似的计算机生成图形模型。这一研究领域的进展将对需要更高精度和改进的真实感的交互式应用产生重大影响。除了上述两个应用程序之外，这些应用程序还包括用于培训的交互式环境，用于精密敏感的基于cad的工业过程的交互式虚拟原型，智能制造以及灵巧操作应用程序，如机器人装配，远程机器人，医疗和辅助机器人。这项研究工作将支持培养具有尖端方法和技术的高素质专家，这些专家是加拿大强大的多媒体，游戏和虚拟现实行业所需要的。