MV-FractalDB: Formula-driven Supervised Learning for Multi-view Image Recognition
Ryosuke Yamada,Ryo Takahashi,Ryota Suzuki,Akio Nakamura,Yusuke Yoshiyasu,Ryusuke Sagawa,Hirokatsu Kataoka,Ryosuke Yamada,Ryo Takahashi,Ryota Suzuki,Akio Nakamura,Yusuke Yoshiyasu,Ryusuke Sagawa,Hirokatsu Kataoka
The paper proposes a method for automatic multi-view dataset construction based on formula-driven supervised learning (FDSL). Although data collection and human annotation of 3D objects are labor-intensive, we automatically generate their training data and labels in the proposed multi-view dataset. To create a large-scale multi-view dataset, we employ fractal geometry, which is considered the back...
