On the public citation graph

Shape representations from shading primitives

0 signed · 39 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf00115695openalex-snapshot
Shape from interreflections
inferredcites →https://doi.org/10.1007/bf00994018openalex-snapshot
Support-Vector Networks
inferredcites →https://doi.org/10.1016/0004-3702(77)90006-6openalex-snapshot
Description and recognition of curved objects☆
inferredcites →https://doi.org/10.1016/0146-664x(74)90022-7openalex-snapshot
Determining lightness from an image
inferredcites →https://doi.org/10.1016/0734-189x(85)90054-4openalex-snapshot
Boundary conditions for lightness computation in Mondrian World
inferredcites →https://doi.org/10.1037//0033-295x.94.2.115openalex-snapshot
Recognition-by-components: A theory of human image understanding.
inferredcites →https://doi.org/10.1098/rspb.1978.0020openalex-snapshot
Representation and recognition of the spatial organization of three-dimensional shapes
inferredcites →https://doi.org/10.1109/34.481541openalex-snapshot
Recovery of SHGCs from a single intensity view
inferredcites →https://doi.org/10.1109/34.85657openalex-snapshot
Reflections on shading
inferredcites →https://doi.org/10.1109/34.868688openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/cvpr.1997.609307openalex-snapshot
Determining a polyhedral shape using interreflections
inferredcites →https://doi.org/10.1109/cvpr.1997.609310openalex-snapshot
Training support vector machines: an application to face detection
inferredcites →https://doi.org/10.1109/cvpr.1997.609319openalex-snapshot
Pedestrian detection using wavelet templates
inferredcites →https://doi.org/10.1109/cvpr.1997.609399openalex-snapshot
Body plans
inferredcites →https://doi.org/10.1109/cvpr.1997.609407openalex-snapshot
Normalized cuts and image segmentation
inferredcites →https://doi.org/10.1109/iccv.1993.378226openalex-snapshot
Diffuse shading, visibility fields, and the geometry of ambient light
inferredcites →https://doi.org/10.1109/iccv.1995.466805openalex-snapshot
Shape from shading with interreflections under proximal light source-3D shape reconstruction of unfolded book surface from a scanner image
inferredcites →https://doi.org/10.1109/iccv.1998.710724openalex-snapshot
Shading primitives: finding folds and shallow grooves
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm
inferredcites →https://doi.org/10.1117/12.7972479openalex-snapshot
Photometric Method For Determining Surface Orientation From Multiple Images
inferredcites →https://doi.org/10.1177/027836498400300302openalex-snapshot
Smoothed Local Symmetries and Their Implementation
inferredcites →https://doi.org/10.1364/josa.61.000001openalex-snapshot
Lightness and Retinex Theory
inferredcites →https://doi.org/10.1364/josa.73.000843openalex-snapshot
Geometrical modes as a general method to treat diffuse interreflections in radiometry
inferredcites →https://doi.org/10.1364/josaa.11.000467openalex-snapshot
Shape-from-shading on a cloudy day

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1006/cviu.1999.0746openalex-snapshot
Image Analysis and Computer Vision: 1998
inferred← citeshttps://doi.org/10.1007/11744085_6openalex-snapshot
Retexturing Single Views Using Texture and Shading
inferred← citeshttps://doi.org/10.1007/3-540-46805-6_18openalex-snapshot
Finding Objects by Grouping Primitives
inferred← citeshttps://doi.org/10.1007/bfb0054729openalex-snapshot
Computer Vision — ECCV’98
inferred← citeshttps://doi.org/10.1007/bfb0055655openalex-snapshot
Computer Vision — ECCV'98
inferred← citeshttps://doi.org/10.1109/acssc.1998.751013openalex-snapshot
Finding objects by grouping primitives
inferred← citeshttps://doi.org/10.1109/cvpr.2000.855845openalex-snapshot
Smooth region structure: folds, domes, bowls, ridges, valleys and slopes
inferred← citeshttps://doi.org/10.1109/cvpr.2005.99openalex-snapshot
Cloth Representation by Shape from Shading with Shading Primitives
inferred← citeshttps://doi.org/10.1109/cvpr.2008.4587773openalex-snapshot
Shading models for illumination and reflectance invariant shape detectors
inferred← citeshttps://doi.org/10.1109/iccvw.2009.5457640openalex-snapshot
Shading cues for object class detection
inferred← citeshttps://doi.org/10.1109/tpami.2007.1040openalex-snapshot
A Two-Level Generative Model for Cloth Representation and Shape from Shading
inferred← citeshttps://doi.org/10.1109/tpami.2014.2343211openalex-snapshot
From Shading to Local Shape
inferred← citeshttps://doi.org/10.1145/1360612.1360658openalex-snapshot
A perceptually validated model for surface depth hallucination
inferred← citeshttps://doi.org/10.1364/josaa.18.002448openalex-snapshot
On the relationship between radiance and irradiance: determining the illumination from images of a convex Lambertian object
inferred← citeshttps://doi.org/10.70675/089d8271zc6f0z458fza88bz0c014456e109openalex-snapshot
Estimation de propriétés mécaniques d'objets complexes à partir de séquences d'images
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.