Three.js Morph Targets: A Deep Dive

I'm diving into the world of morph targets and three.js, but I'm struggling to find comprehensive documentation on this topic.

Upon reviewing the source code, it seems like morphTargetInfluences[] is the key element.

Can someone explain how this operates? How do I implement it? Is a value of 1 equivalent to full strength? And how can I differentiate between various morph targets on the same model?

I just want to grasp the concept behind morphTargetInfluences[]

Thank you in advance!

Answer №1

http://example.com/morphtargets

Geometry morph targets involve sets of vertex positions that allow for smooth interpolation between them. By adjusting the vertices positions indicated in

morphTargetInfluences[0], morphTargetInfluences[1], morphTargetInfluences[nSet]
, you can dynamically alter the appearance of the geometry. Multiple morph target influences can be combined simultaneously for a unique effect. The recommended format is JSONLoader, which can be exported from programs like 3DSMax - with frame0 represented by morphTargetInfluences[0], frame1 by morphTargetInfluences[1], and so on.

The original geometry vertices remain unaltered, as confirmed by using geometry.computeBoundingBox(); geometry.boundingBox();

Answer №2

Before diving into this method, it's essential to proceed with caution. There seems to be a gap in knowledge when it comes to understanding the technology at hand.

  1. Don't get caught up in thinking Morph Targets allow you to animate by simply swapping out vertices. The true value lies in using an alternate shape (same mesh with identical vertices but positioned differently) as a deformation target for your model. For example, transitioning between a Neutral Face and a Smile Face.

  2. Remember, the morphTargetInfluence attribute does not deal with individual vertices. Instead, it consists of an array of scalar values that determine the weight allotted to each target during the morphing process. In the context of a facial animation, a value like [0.3] might create a subtle Mona Lisa-like smile, while a value such as [0.9] would result in a cheerful grin.

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