Temporal anti-aliasing

In cel animation, animators can either add motion lines or create an object trail to give the impression of movement. To solve the wagon-wheel effect without changing the sampling rate or wheel speed, animators could add a broken or discolored spoke to force viewer's visual system to make the correct connections between frames.

To perform anti-aliasing in computer graphics, the anti-aliasing system requires a key piece of information: which objects cover specific pixels at any given time in the animation.

One approach used is to derive a high resolution (i.e. larger than the output image) temporal intensity function from object attributes which can then be convolved with an averaging filter to compute the final anti-aliased image.

In this approach, there are two methods available for computing the temporal intensity function. The first method being to compute the position of each object as a continuous function and then using the function to determine which pixels are covered by this object in the scene. The second method can use traditional rendering techniques to supersample the moving scene and determine a discrete approximation of object position.[4]

One algorithm proposed for computing the temporal intensity function is:[4]

For each image frame:
	For each object in the frame:
		Calculate the temporal transformation function for each dynamic attribute
		Determine the areas the object covers during the filtered interval
	For each pixel:
		Determine which objects are covering this pixel at some time in the sampled interval
		Determine the subintervals of time during which each object projects onto this pixel
		Perform hidden surface removal by removing subintervals of occluded objects
		Determine pixel intensity function based on the remaining subintervals and the object's temporal transformation function
        Filter resulting pixel intensity function

Note: The "temporal transformation function" in the above algorithm is simply the function mapping the change of a dynamic attribute (for example, the position of an object moving over the time of a frame).

In the cases where either object attributes (shape, color, position, etc.) are either not explicitly defined or are too complex for efficient analysis, interpolation between the sampled values may be used. To obtain results closest to the source data, B-splines can be used to interpolate the attributes. In cases where speed is a major concern, linear interpolation may be a better choice.

Temporal anti-aliasing can be applied in image space for simple objects (such as a circle or disk) but more complex polygons could require some or all calculations for the above algorithm to be performed in object space.

In spatial anti-aliasing it is possible to determine the image intensity function by supersampling. Supersampling is also a valid approach to use in temporal anti-aliasing; the animation system can generate multiple (instead of just one) pixel intensity buffers for a single output frame. The primary advantage of supersampling is that it will work with any image, independent of what objects are displayed or rendering system is used.

• Motion blur
• Anti-aliasing (disambiguation)
• Exposure (photography)
• Temporal posterization