This paper proposes a novel visual loop-closure method using average feature descriptors. The average feature descriptors are computed by averaging the descriptors of feature points at each frame. Through GPGPU (General-Purpose computing on Graphics Processing Units) technique, the proposed method selects a frame having a minimum distance with the current average feature descriptor from the average feature descriptor history. After the minimum distance calculation, loop-closure is determined by matching feature points between the selected frame and current frame. Experiments results demonstrate that the proposed method successfully detects the visual loop-closure and is much faster than the conventional visual loop-closure method in detecting the visual loop-closure.
CITATION STYLE
Kim, D. H., & Kim, J. H. (2014). Visual loop-closure detection method using average feature descriptors. In Advances in Intelligent Systems and Computing (Vol. 274, pp. 113–118). Springer Verlag. https://doi.org/10.1007/978-3-319-05582-4_10
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