3d Virtual Objects
3d Virtual Objects - Related Videos
14:38
Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Cited by 12 •
2012
We describe a novel methodology for creating naturalistic 3-D objects and object categories with precisely defined feature variations. We use simulations of the biological processes of morphogenesis and phylogenesis to create novel, naturalistic virtual 3-D objects and object categories that can then be rendered as visual images or haptic objects.
09:23
Integrating Automated Simulation Workflows with 3D Visualization for Virtual Experiments in the Metaverse
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2026
A generalized, FAIR-compliant method is presented for domain-expert researchers seeking to integrate simulation and data-processing tools into automated workflows for 3D virtual experiments. A neutronics example demonstrates setting up a local Galaxy instance, wrapping OpenMC and file-conversion tools, launching workflows from Omniverse, and visualizing the converted 3D outputs.
11:00
Hand Controlled Manipulation of Single Molecules via a Scanning Probe Microscope with a 3D Virtual Reality Interface
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Cited by 6 •
2016
We demonstrate the precise manipulation of individual organic molecules on a metal surface with the tip of a scanning probe microscope driven in 3D by the experimenter's hand using a motion capture system and fully immersive virtual reality goggles.
09:11
Design and Use of an Apparatus for Presenting Graspable Objects in 3D Workspace
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Cited by 1 •
2019
Presented here is a protocol to build an automatic apparatus that guides a monkey to perform the flexible reach-to-grasp task. The apparatus combines a 3D translational device and turning table to present multiple objects in an arbitrary position in 3D space.
06:36
Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data
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2024
We have developed a simple, customizable, and efficient method for recording quantitative processual data from interactive spatial tasks and mapping these rotation data with eye-tracking data.
FAQs
Each component contributes a different visual function. Geometric models establish the object's form and spatial structure, textures add surface appearance, and lighting affects how that form is presented. Rendering algorithms combine these elements into an observable scene. Together, they determine how users interpret shape, depth, and relationships among objects from a given viewpoint.
Changing viewpoints allows researchers to present the same object or scene from different spatial perspectives. This supports investigations of how the brain perceives form, motion, and spatial relationships rather than restricting observation to one fixed image. In experimental tasks, controlled viewpoint changes can also help connect visual information with cognitive processing and motor responses.
Immersive virtual reality places 3D virtual objects within an environment designed for immersive viewing, whereas other digital presentations may provide less immersive access to the same content. This distinction matters when researchers examine spatial perception, movement, or interaction. The selected presentation system should match whether the study focuses on visualization, perceptual processing, motor control, or several of these areas.
Their spatially organized structure allows researchers to represent relationships among elements within a modeled environment. In neuroscience, that capability can support visualization of brain structures and the construction of neural environments for study. The resulting models connect computational visualization with questions about spatial organization, perception, cognition, and how users interact with simulated settings.
A typical workflow begins by constructing a geometric model, adding textures and lighting, and applying rendering algorithms to produce the visual representation. The object can then be presented from changing viewpoints or within an immersive virtual reality system. Researchers select the resulting digital presentation according to whether they need visualization, experimental task design, simulation, or interactive study.
Researchers can place these objects into designed digital tasks that require participants to process form, motion, or spatial relationships. Changing viewpoints and presentation conditions provide ways to structure the visual experience, while interactive or immersive systems can connect perception with motor control. This makes the technique useful for studying cognition and behavior alongside visual processing.
These applications are appropriate when learners or participants benefit from observing, manipulating, or practicing with spatially organized digital content. The same computational representations can support educational visualization, rehabilitation activities, and simulation-based training. Their value comes from presenting brain structures, neural environments, or task-relevant scenes in a form that can be viewed and interacted with digitally.
They can support examination of brain structures, modeled neural environments, and perceptual responses to form, motion, and spatial relationships. When incorporated into tasks, they also provide a link to cognition and motor control. Thus, the models can serve both as visualization tools for scientific content and as controlled stimuli for investigating how the brain processes spatially organized information.