Explore 68 AI terms in 3D Modeling
A Cartesian Coordinate System defines a way to locate points in space using numerical coordinates along perpendicular axes.
Computer Aided Design (CAD) refers to software used for creating precision drawings or technical illustrations.
Constructive Solid Geometry is a 3D modeling technique using boolean operations to create complex shapes.
Delaunay Triangulation is a geometric method for creating a mesh of triangles from a set of points in a plane.
Design Space refers to the range of possible configurations and parameters for a design or system.
Differentiable Rendering is a technique that allows for the optimization of 3D graphics by using gradients derived from rendering processes.
Euclidean space is a mathematical construct that describes flat geometric spaces defined by points, lines, and dimensions.
Flattening is the process of converting complex 3D data into 2D representations for various applications.
Forward kinematics is a method used in robotics and animation to determine the position of a system's end effector based on joint parameters.
A frustum is a three-dimensional shape formed by slicing the top off a cone or pyramid, resulting in two parallel bases.
Geometric Transformation refers to operations that alter the position, size, or orientation of geometric shapes in graphics.
Hinge Margin refers to the space or area around a hinge joint in 3D modeling and graphics.
A hypercube is a geometric shape that extends the concept of a cube into higher dimensions.
Inverse Kinematics is a mathematical method used to calculate joint angles needed for a robotic arm or character to reach a specific position.
Iterative Closest Point (ICP) is a method for aligning 3D models by minimizing the distance between corresponding points.
Mesh R-CNN is a deep learning framework for 3D object detection and segmentation from images.
Mesh Reconstruction is the process of creating a 3D model from point cloud data or other geometric information.
A Model Derivative is a digital representation of a 3D model, enabling various applications such as visualization and analysis.
A model quarry is a dataset of 3D objects used for training and testing machine learning models in 3D graphics and modeling.
Model rendering is the process of generating visual representations of 3D models using computer graphics techniques.
Model Shape refers to the geometric configuration of a model in 3D space, influencing its visual representation and functional attributes.
Model Space refers to a virtual environment where 3D models are created and manipulated.
Neural Tiling refers to the use of neural networks to create seamless textures or patterns in 3D graphics.
Neural Volume refers to a volumetric representation of 3D data generated using neural networks.
Non-linear mapping transforms data using complex relationships, enhancing representation in AI models and 3D graphics.
A normal vector is a vector that is perpendicular to a surface at a given point, used in various 3D applications.
Object boundary refers to the defined limits or edges of an object in 3D space, crucial for rendering and modeling.
Object Centric Representation refers to modeling data by focusing on individual objects and their attributes.