Surface Material Perception Through Multimodal Learning-Reference-Cited by-同舟云学术

Surface Material Perception Through Multimodal Learning

Published:2022-06 Issue:4 Volume:16 Page:843-853
ISSN:1932-4553
Container-title:IEEE Journal of Selected Topics in Signal Processing
language:
Short-container-title:IEEE J. Sel. Top. Signal Process.

Author:

Mao Shi¹^ORCID,Ji Mengqi²,Wang Bin³,Dai Qionghai⁴^ORCID,Fang Lu⁵^ORCID

Affiliation:

1. Tsinghua-Berkeley Shenzhen Institute and the Department of Electronic Engineering, Tsinghua University, Beijing, China

2. Institute of Artificial Intelligence, Beihang University, Beijing, China

3. School of Electrical Engineering, Zhejiang University, Hangzhou, China

4. Department of Automation, Tsinghua University, Beijing, China

5. Department of Electronic Engineering and the Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

Shenzhen Science and Technology Research and Development Funds

Beijing National Research Center for Information Science and Technology

China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/4200690/9829898/09772950.pdf?arnumber=9772950

Reference30 articles.

1. Guided Image Filtering

2. Recognizing Materials Using Perceptually Inspired Features

3. On optimal, minimal BRDF sampling for reflectance acquisition

4. BRDF Representation and Acquisition

5. Material classification using BRDF slices

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