Light of Normals: Unified Feature Representation for Universal
  Photometric Stereo
Universal photometric stereo (PS) aims to recover high-quality surface
normals from objects under arbitrary lighting conditions without relying on
specific illumination models. Despite recent advances such as SDM-UniPS and Uni
MS-PS, two fundamental challenges persist: 1) the deep coupling between varying
illumination and surface normal features, where ambiguity in observed intensity
makes it difficult to determine whether brightness variations stem from
lighting changes or surface orientation; and 2) the preservation of
high-frequency geometric details in complex surfaces, where intricate
geometries create self-shadowing, inter-reflections, and subtle normal
variations that conventional feature processing operations struggle to capture
accurately.
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Hong Li
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Houyuan Chen
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Chongjie Ye
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Zhaoxi Chen
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Bohan Li
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Shaocong Xu
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Xianda Guo
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Xuhui Liu
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Yikai Wang
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Baochang Zhang
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Satoshi Ikehata
admin_assigned
2025-06-24T12:51:11.759Z
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/avatars/26f811ade720ffbd671deaacc03ee4ba.svg
Satoshi Ikehata
user
smyth
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Boxin Shi
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Anyi Rao
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Hao Zhao
Light of Normals: Unified Feature Representation for Universal
  Photometric Stereo
Universal photometric stereo (PS) aims to recover high-quality surface
normals from objects under arbitrary lighting conditions without relying on
specific illumination models. Despite recent advances such as SDM-UniPS and Uni
MS-PS, two fundamental challenges persist: 1) the deep coupling between varying
illumination and surface normal features, where ambiguity in observed intensity
makes it difficult to determine whether brightness variations stem from
lighting changes or surface orientation; and 2) the preservation of
high-frequency geometric details in complex surfaces, where intricate
geometries create self-shadowing, inter-reflections, and subtle normal
variations that conventional feature processing operations struggle to capture
accurately.
Photometric stereo aims to recover high-quality surface normals under arbitrary lighting conditions, addressing challenges related to illumination-surface normal coupling and high-frequency geometric detail preservation.
photometric stereo deep coupling surface normals illumination conditions intensity variations self-shadowing inter-reflections subtle normal variations