Event fusion photometric stereo network

Author:

Ryoo WonjeongORCID,Nam GiljooORCID,Hyun Jae-SangORCID,Kim SangpilORCID

Funder

IITP

NRF

Korea Creative Content Agency

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference39 articles.

1. Photometric stereo with non-parametric and spatially-varying reflectance;Alldrin,2008

2. Bi, Y., Chadha, A., Abbas, A., Bourtsoulatze, E., & Andreopoulos, Y. (2019). Graph-based object classification for neuromorphic vision sensing. In Proceedings of the IEEE/CVF international conference on computer vision (pp. 491–501).

3. A 240 × 180 130 db 3 μs latency global shutter spatiotemporal vision sensor;Brandli;IEEE Journal of Solid-State Circuits,2014

4. VisionBlender: A tool to efficiently generate computer vision datasets for robotic surgery;Cartucho;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization,2020

5. Chen, G., Han, K., & Wong, K. K. (2018). PS-FCN: A flexible learning framework for photometric stereo. In Proceedings of the European conference on computer vision (pp. 3–18).

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