AUTHOR(S):

Kaiman Zeng, Nansong Wu, Kang K. Yen

TITLE

Local Visual Feature Detection and Description for Non-Rigid 3D Objects

KEYWORDS

Feature Extraction, Local Feature Detector, Local Feature Descriptor, Image Matching

ABSTRACT

eature extraction is an essential step in various image processing and computer vision tasks, such as object recognition, object tracking, image retrieval, augmented reality, and so on. Design of feature extraction method plays the most significant role in achieving high performance of various tasks. Different applications create different challenges and requirements for the design of visual features. In this paper, we explored and investigated the effectiveness of different combinations of promising local feature detectors and descriptors for non-rigid 3D objects. Different configurations of visual feature detectors and descriptors have been enumerated, and each configuration has been evaluated by image matching accuracy. The results indicated that the scaleinvariant feature transform feature detector and descriptor achieved the best overall performance in describing local features of non-rigid 3D object.

Cite this paper

Kaiman Zeng, Nansong Wu, Kang K. Yen. (2016) Local Visual Feature Detection and Description for Non-Rigid 3D Objects. International Journal of Signal Processing, 1, 114-119