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Computational Photography, an AI-powered Slopendium — 17 Human factors
expand to📖 Full book outlinejump to1 parts · 7 chapters · 6 sections · 5 figures embedded · 7 placeholders · double-click a figure to enlarge
Part 17 HUMAN FACTORS
17.1 Human factors and the art of photography
17.2 Ethics of computational photography
• photography has **never been "the truth"** — framing, exposure and selection are choices; computation only widens the gap between scene and image
• **manipulation & provenance**: retouching → deepfakes; the line between *enhancement* and *deception*; **forensics** (detecting edits) and **provenance** (C2PA / content credentials, watermarking) — see forensics (Missing stuff)
• **fairness & representation**: film and auto-exposure / AWB were tuned for light skin (**Shirley cards**) — a bias that persists in metering, white balance and face detection; design for **diverse skin tones** (→ Skin tones)
• **privacy & consent**: faces, surveillance, always-on cameras, face / plate recognition; the right not to be captured
• **generative AI**: training-data consent & copyright, synthetic "photographs", and what *photographic evidence* means when any image can be generated (→ Generative AI)
• the book's stance: name each capability *and* its misuse, and prefer transparency (disclose computation) — an editorial line to keep consistent
17.3 Computational models of perception
fig-interp-comparison
fig-interp-comparison · UPSAMPLING ×8 on a real photo (iguana eye + scales): nearest vs bilinear vs **two** bicubics bracketing the sharpness↔aliasing/ringing tradeoff — Catmull–Rom (0, ½) sharp vs Mitchell (⅓, ⅓) smooth; tight zoom (blocky) + larger crop (real pixel size) 🟨
fig-coma
fig-coma · coma: an off-axis parallel bundle where each annular aperture zone images to a different height; chief ray through the lens centre + zonal rays missing a common focus → the one-sided comet ("coma") spot with a head and a radial tail
17.4 Spatial (and spatio-temporal) vision
fig-csf-chromatic
fig-csf-chromatic · three contrast-sensitivity functions: luminance (band-pass) vs red–green and blue–yellow (low-pass, lower cutoff) — we resolve colour more coarsely than brightness 🟨
fig-blur-as-temporal-prefilter
fig-blur-as-temporal-prefilter · one knob, two outcomes — the same fast motion captured long (blurred but not aliased; the window low-passed before sampling) vs short/high-angle (sharp but strobing); the exposure window is the temporal anti-alias filter, L16 in time 🟨
17.5 User studies
17.6 Accessibility: photography by and for blind users
17.7 The social and personal practice of photography