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LinePilot Digitizer: Line-Plot Recovery with Manual and Automatic Calibration

Published 18 Sept 2026arXiv:2609.19377

data quality89

Updated 4 h ago · first seen 18 Sept 2026

paper_01M2SEH053EJXFPX1SKZB80M3B

Abstract

Recovering numerical series from line plots requires accurate axis calibration and reliable curve extraction. We present LinePilot Digitizer (LinePilot), which combines continuous color-based curve recovery with three calibration modes: LinePilot (standard), LinePilot (enhanced), and LinePilot (OCR). We also introduce DigitizerBench, the first dedicated benchmark for systematically evaluating digitizer performance, using an orthogonal design spanning signal, rendering, and plot-structure factors with complementary automatic and human-guided evaluations. We evaluate performance using failure-penalized capped normalized root-mean-square error (FPC-NRMSE), which assigns unit loss to missing, unusable, or catastrophically inaccurate outputs. On DigitizerBench-Full, LinePilot (OCR) achieves the lowest mean FPC-NRMSE (0.672) and highest trusted usability (38.2%) among the tested automatic pipelines. On DigitizerBench-Lite, LinePilot (enhanced) achieves the lowest mean FPC-NRMSE (0.081), 100% output success, and highest trusted usability (93.3%). The orthogonal benchmark design further enables factor analysis to identify the factors that most significantly affect digitizer performance. Together, the three calibration modes provide a practical trade-off between automation, user control, and accuracy within a shared curve-recovery workflow.

Authors

Authors 8

Aakash H. JoshiFengbo MaHaijian SunRayan AkhtarXianyan ChenXiaoting LiYiping ZhaoZhen Xiang

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arXiv (Atom API + RSS)rss.arxiv.org/rss/cs.CV feedT1· Official4 h ago7
arXiv (Atom API + RSS)rss.arxiv.org/rss/cs.AI feedT1· Official4 h ago8

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