What is the Difference Between Image Space and Object Space?
🆚 Go to Comparative Table 🆚The difference between image space and object space lies in their representation and application in computer graphics and optics.
Object Space:
- Object space refers to the 3-dimensional space in which a graphic object is defined.
- In optics, object space is the space between the source and the optical system.
- Object space contains the rays coming from the object, not affected by the lens.
- Object-space methods are generally used in line-display algorithms.
Image Space:
- Image space is the projection of the object defined in 3D to two-dimensional screen space.
- In optics, image space refers to the space between the optical system and the observer.
- Image space can contain real image points behind the system and virtual image points before it.
- Image-space methods are implemented in the screen coordinate system, and visibility is decided point by point at each pixel position on the view plane.
In summary, object space represents the 3D definition of a graphic object, while image space is the 2D projection of that object on a screen. Object-space methods are more line-based, whereas image-space methods are more surface-based.
Comparative Table: Image Space vs Object Space
The main difference between image space and object space lies in their representation of geometric properties in computer graphics. Here is a table comparing the two:
Feature | Image Space | Object Space |
---|---|---|
2D Representation | Deals with the 2D representation of objects after transformations like scaling, rotation, or translation. | Deals with the 3D geometric properties of an object before any transformations. |
Object-Based | Focuses on the geometric relations among objects in the scene. | Does not involve projections onto the image plane. |
Visibility | Determines the visibility of each object surface. | Objects are projected onto the image plane. |
Computations | Requires more computations, as each point is detected for its visibility. | Less computationally intensive than image space methods. |
Hidden Surface Removal | Used in visible surface determination algorithms. | Not directly used in hidden surface removal algorithms. |
In summary, object space deals with the 3D geometric properties of an object before any transformations, while image space deals with the 2D representation of objects after transformations and focuses on the geometric relations among objects in the scene. Image space methods are more computationally intensive, as they determine the visibility of each object surface.
- Space vs Time
- Space vs Universe
- Image vs Shadow
- Photo vs Image
- Virtual vs Real Images
- Atmosphere vs Space
- Object vs Instance
- Subject vs Object
- Objects vs Classes
- Source Code vs Object Code
- Class Diagram vs Object Diagram
- Visualization vs Image Processing
- Object vs Complement
- Point Group vs Space Group
- Orthogonal vs Orthonormal
- Vision vs Objective
- Orbit vs Orbital
- Parallel vs Perspective Projection
- Relativity vs Special Relativity