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: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637424
• 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.

市场上 3D 技术（例如 3D 显示器、3D 眼镜以及各种与虚拟环境交互的手段（手套、触觉反馈设备等））的推出给研究界带来了越来越大的压力，要求他们开发 3D 技术内容。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，引入基于真实测量的 3D 对象的合理表示。现实世界中的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：它们的硬度、触摸时它们的表面感觉和声音如何，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开发并没有跟上娱乐和计算机游戏行业中视觉和音频真实感的快速进步。为了迎接这一挑战，该研究计划的长期目标是通过基于真实多感官测量的合理 3D 对象模型及其集成、表示和解释，为需要更高真实感的应用开发增强的传感和建模技术从这个长期目标涉及的多个方面来看，这个原创研究计划主要集中在三个主要方面：（1）获取视觉、音频和触觉测量并将其集成到真实、连贯的3D模型中； (2) 此类对象的复杂行为的渲染； (3)特定应用背景下多感官对象模型的集成和评估。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进行调整和完善，以用于实际测量。它们将有利地结合起来，用于制定基于多感官视觉、触觉和音频数据的新颖对象模型。将提出原始的计算智能方法，以允许有效利用有关对象行为的各种信息源，并在交互式环境中无缝合并多感官模型。在初始阶段，将实施专用界面来对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，小的缺陷会立即被察觉。模型最终将集成到两个实际应用中，一个用于恐惧症治疗，另一个用于可变形物体的基于模型的安全物体操作。拟议的程序将贡献构建下一代交互式应用程序所需的理论和实践知识，这些应用程序将依赖于从实际测量中获取的可信 3D 内容，而不是硬编码的、近似计算机生成的图形模型。该研究领域的进步将对需要更高准确性和更高真实性的交互式应用产生重大影响。除了上述两个应用之外，还包括用于培训的交互式环境、用于基于 CAD 的精密敏感工业流程的交互式虚拟原型、智能制造以及机器人装配、远程机器人、医疗和辅助机器人等灵巧操作应用。这项研究工作将支持培训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。