Chapter 5 – View Representation

Feature extraction is an important task in any multimedia retrieval task. Feature extraction has been investigated extensively in recent years. View representation has been improved based on well-defined image feature extraction techniques, which have attracted significant research efforts for decades. Distinct from the features for 2-D images, some shape-based view features are more suitable for 3-D object representation. Popular and effective features, such as moments, Fourier transforms, and the bag-of-words descriptor, are briefly introduced in this chapter. A critical issue is how to combine these views, which may influence the 3-D object description differently. We introduce how we determine weights for multiple representative views in the last part of this chapter.

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