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RGB-Based Visual-Inertial Odometry via Knowledge Distillation from Self-Supervised Depth Estimation with Foundation Models. [PDF]

Sensors (Basel)
Song J, Lee SJ.
europepmc   +1 more source

Affine transform representation for reducing calibration cost on absorption-based LWIR depth sensing. [PDF]

Sci Rep
Kushida T, Nakamura R, Matsuda H, Chen W, Tanaka K.   +4 more
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Glare suppressed 3D mapping system based on linear polarization filtering and binocular vision fusion. [PDF]

Sci Rep
Zhao K, Qiu H, Gao C, Jiang L.
europepmc   +1 more source

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MVPSNet: Fast Generalizable Multi-view Photometric Stereo

IEEE International Conference on Computer Vision, 2023
We propose a fast and generalizable solution to Multiview Photometric Stereo (MVPS), called MVPSNet. The key to our approach is a feature extraction network that effectively combines images from the same view captured under multiple lighting conditions ...
Dongxu Zhao, Daniel Lichy, Pierre-Nicolas Perrin, Jan-Michael Frahm, Soumyadip Sengupta   +4 more
semanticscholar   +1 more source

DiLiGenT-Π: Photometric Stereo for Planar Surfaces with Rich Details – Benchmark Dataset and Beyond

IEEE International Conference on Computer Vision, 2023
Photometric stereo aims to recover detailed surface shapes from images captured under varying illuminations. However, existing real-world datasets primarily focus on evaluating photometric stereo for general non-Lambertian reflectances and feature bulgy ...
Fei-Zhang Wang, Jieji Ren, Heng Guo, Mingjun Ren, Boxin Shi   +4 more
semanticscholar   +1 more source

Dpps: A Deep-Learning Based Point-Light Photometric Stereo Method for 3d Reconstruction of Metallic Surfaces

Social Science Research Network, 2023
Three-dimensional (3D) measurement provides essential geometric information for quality control and process monitoring in many manufacturing applications.
Ru Yang, Yaoke Wang, Shuheng Liao, Ping Guo   +3 more
semanticscholar   +1 more source

Learning Deep Photometric Stereo Network with Reflectance Priors

IEEE International Conference on Multimedia and Expo, 2023
Photometric stereo recovers the surface normals of an object from images with varying shading cues. Conventional photometric stereo methods attempt to use handcrafted reflectance models to approximate surface normals, while deep learning-based networks ...
Yakun Ju, Cong Zhang, Songsong Huang, Y. Rao, K. Lam   +4 more
semanticscholar   +1 more source