Objective, Absolute and Hue-aware Metrics for Intrinsic Image Decomposition on Real-World Scenes: A Proof of Concept Article Swipe
Shogo Sato
,
Masaru Tsuchida
,
M. Yamaguchi
,
Takuhiro Kaneko
,
Kazuhiko Murasaki
,
Taiga Yoshida
,
Ryuichi Tanida
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2505.19500
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2505.19500
Intrinsic image decomposition (IID) is the task of separating an image into albedo and shade. In real-world scenes, it is difficult to quantitatively assess IID quality due to the unavailability of ground truth. The existing method provides the relative reflection intensities based on human-judged annotations. However, these annotations have challenges in subjectivity, relative evaluation, and hue non-assessment. To address these, we propose a concept of quantitative evaluation with a calculated albedo from a hyperspectral imaging and light detection and ranging (LiDAR) intensity. Additionally, we introduce an optional albedo densification approach based on spectral similarity. This paper conducted a concept verification in a laboratory environment, and suggested the feasibility of an objective, absolute, and hue-aware assessment. (This paper is accepted by IEEE ICIP 2025. )
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- preprint
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- en
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- http://arxiv.org/abs/2505.19500
- https://arxiv.org/pdf/2505.19500
- OA Status
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All OpenAlex metadata
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https://openalex.org/W4414586494Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2505.19500Digital Object Identifier
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Objective, Absolute and Hue-aware Metrics for Intrinsic Image Decomposition on Real-World Scenes: A Proof of ConceptWork title
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preprintOpenAlex work type
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enPrimary language
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2025Year of publication
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2025-05-26Full publication date if available
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Shogo Sato, Masaru Tsuchida, M. Yamaguchi, Takuhiro Kaneko, Kazuhiko Murasaki, Taiga Yoshida, Ryuichi TanidaList of authors in order
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https://arxiv.org/abs/2505.19500Publisher landing page
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2505.19500Direct OA link when available
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0Total citation count in OpenAlex
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