| Autor: |
Agarwal, Swapna, Maity, Soumyadip, Barua, Hrishav Bakul, Bhowmick, Brojeshwar |
| Zdroj: |
Multimedia Tools & Applications; Nov2023, Vol. 82 Issue 27, p42641-42659, 19p |
| Abstrakt: |
This paper presents a novel architecture to generate a world model in terms of mesh from a continuous image stream with depth information extracted from a robot's ego-vision camera. We propose two algorithms for planar and non-planar mesh generation. A Cartesian grid-based mesh fitting algorithm is proposed for mesh generation of planar objects. For mesh generation of non-planar objects, we propose a Self Organization Map based algorithm. The proposed algorithm better approaches the boundary and overall shape of the objects compared to State-Of-the-Art (SOA). Extensive experiments done on three public datasets show that our method surpasses SOA both qualitatively and quantitatively. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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