Multi-feature 3D model retrieval using view-based techniques

ABSTRACT

Most research on 3D model retrieval focus on shape as the main feature used for search and retrieval. In this paper, we explore augmenting 3D shape-based similarity measures by combining shape with color features. There are already numerous techniques for content-based 3D model retrieval utilizing shape, some use global shape features, shape distributions, or view-based methods. This paper uses a view-based approach using 2D projections of 3D models taken from different viewpoints. The main problem with view-based techniques is how to normalize the rotation of the mesh in 3D space to properly align the model to the projection planes. In our work, we use Normal-vectors PCA (NPCA). The 3D model is first projected onto three planes using their normal vectors and gray-level images (inner elevations) that describe the depth information are generated. The angular radial transform (ART) from MPEG-7 is then used on these inner elevations to extract a feature descriptor. These descriptors are called the inner elevation descriptor (IED) and are used to match the query with the database object. This shape feature is then augmented using color histograms considering perceptual color similarity. It is then tested on the Princeton Shape Benchmark and compared to well-known approaches.

KEYWORDS:

• 3D information retrieval
• 3D models
• shape matching
• multi-feature retrieval and view-based retrieval

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Conrado Ruiz

Conrado Ruiz, Jr. obtained his bachelor's degree in computer science with a specialization in software technology (cum laude) from DLSU in 1999. He received his master's and doctorate degrees from the School of Computing of the National University of Singapore in 2001 and 2015, respectively. His several works in the areas of computer graphics, computational art, and multimedia information retrieval have been published. His articles have also been published in IEEE Transactions on Visualization and Computer Graphics, Visual Computer and Multimedia Tools and Applications Journals. He has also presented at various conferences, such as Computer Graphics International, ACM SIGGRAPH Asia, EuroGraphics, and ACM I3D. He was a BPI Science Awardee in 1999 and received a special citation from the National Academy of Science and Technology during the Talent Search for Young Scientists in 2007. He is currently an associate professor at the College of Computer Studies of DLSU.