Abstract
ABSTRACTIn this paper, we present an integrated framework of human motion retrieval based on freehand sketch. With some simple rules, the user can acquire a desired motion by sketching several key postures. To retrieve efficiently and accurately by sketch, the 3D postures are projected onto several 2D planes. The limb direction feature is proposed to represent the input sketch and the projected‐postures. Furthermore, a novel index structure based on k‐d tree is constructed to index the motions in the database, which speeds up the retrieval process. With our posture‐by‐posture retrieval algorithm, a continuous motion can be got directly or generated by using a pre‐computed graph structure. What's more, our system provides an intuitive user interface. The experimental results demonstrate the effectiveness of our method. © 2014 The Authors. Computer Animation and Virtual Worlds published by John Wiley & Sons, Ltd.
Highlights
With the development of motion capture techniques, motion capture data has been widely used for capturing character motions in many applications such as performance animation, video games, featured films, and virtual reality [1,2]
Using motion clip as the query term is easy to measure the similarity between clips, especially the similarity between single postures, but the query clip is usually hard to acquire, the user may have to examine a large number of examples in the motion repository by reviewing the motions
We provide an interface on which the user can draw any number of sketching key postures
Summary
With the development of motion capture techniques, motion capture data has been widely used for capturing character motions in many applications such as performance animation, video games, featured films, and virtual reality [1,2]. To get a desired motion from large human motion repository, the input of the retrieval system is a very important consideration for the animators. Sketching interface is intuitive even for novices, because most people grew up scrawling and drawing some figure line. We extract the key postures of the 3D motions and project them into several 2D planes. The limb direction feature is proposed, which can match sketches with projected postures accurately. A novel method based on k-d tree [16] is used to index the LD features of projected-postures, which is efficient for searching large amount of human motions. We provide an interface on which the user can draw any number of sketching key postures.
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