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Irissometry

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The elasticity of the iris subjects the shape and degree of circularity of the pupil to variations. For example, the pupil's border may slightly wobble and alter in shape within the iris during changes in pupil size and eye-movements, which can be problematic for
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The iris may also temporarily deform due to forces evoked during acceleration or deceleration of the eye ball. The iris deforms strongest in the pupillary region (near the pupil-iris border) where the iris is most elastic.
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border) is less elastic and thus more robust to movement forces. As such, eye-trackers may improve the accuracy of gaze tracking by relying on peripheral iris features rather than the pupillary border. An open-source
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2015 12th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
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Proceedings of the Biometric Consortium 2011 Conference: Gaithersburg, MD: National Institute of Standards and Technology; 2011
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which base their gaze estimation on the center mass of the pupil border. The outer, ciliary region (close to the iris-
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Clark, AD; Kulp, SA; Herron, IH; Ross, AA (2011). "Exploring the nonlinear dynamics of iris deformation".
113:"Irissometry: Effects of Pupil Size on Iris Elasticity Measured With Video-Based Feature Tracking" 177:
Wei, Z; Tan, T; Sun, Z (2007). "Nonlinear Iris Deformation Correction Based on Gaussian Model".
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Songjang, T; Thainimit, S (2015). "Tracking and modeling human iris surface deformation".
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describes the method of detection, identification, and tracking of features in the
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Studying deformations of the iris as pupil size varies is relevant to
69: 65: 49: 27: 304: 161: 260: 26:and its deformations as a function of changes in 420: 214:"A 'minimum-wear-and-tear'meshwork for the iris" 117:Investigative Ophthalmology & Visual Science 42:algorithms used for personal identification. 110: 33: 305:Nyström, M; Hooge, I; Holmqvist, K (2013). 50:Video-based iris features for eye trackers 371: 322: 229: 186: 176: 138: 128: 68:-based irissometry code is available on 16:Detection and tracking of the human iris 421: 402: 353: 211: 300: 298: 106: 104: 102: 434:Feature detection (computer vision) 13: 14: 460: 396: 347: 295: 254: 205: 170: 155: 99: 1: 356:"The form of the human pupil" 231:10.1016/S0042-6989(00)00068-7 111:Strauch, C; Naber, M (2022). 92: 403:GitHub (December 18, 2021). 373:10.1016/0042-6989(94)00268-Q 324:10.1016/j.visres.2013.09.009 271:10.1109/ECTICon.2015.7207025 188:10.1007/978-3-540-74549-5_82 7: 75: 10: 465: 449:Human–computer interaction 439:Motion in computer vision 34:Iris surface deformations 30:size and eye rotation. 444:Multimodal interaction 179:Advances in Biometrics 130:10.1167/iovs.63.2.20 354:Wyatt, HJ (1995). 212:Wyatt, HJ (2000). 366:(14): 2021–2036. 280:978-1-4799-7961-5 224:(16): 2167–2176. 198:978-3-540-74548-8 456: 413: 412: 400: 394: 393: 375: 351: 345: 344: 326: 302: 293: 292: 265:. pp. 1–5. 258: 252: 251: 233: 209: 203: 202: 190: 174: 168: 167: 159: 153: 152: 142: 132: 108: 87:Psychophysiology 40:iris recognition 464: 463: 459: 458: 457: 455: 454: 453: 419: 418: 417: 416: 401: 397: 360:Vision Research 352: 348: 311:Vision Research 303: 296: 281: 259: 255: 218:Vision Research 210: 206: 199: 175: 171: 160: 156: 109: 100: 95: 78: 52: 36: 17: 12: 11: 5: 462: 452: 451: 446: 441: 436: 431: 415: 414: 411:. marnixnaber. 395: 346: 294: 279: 253: 204: 197: 169: 154: 97: 96: 94: 91: 90: 89: 84: 77: 74: 61:Corneal limbus 51: 48: 35: 32: 15: 9: 6: 4: 3: 2: 461: 450: 447: 445: 442: 440: 437: 435: 432: 430: 427: 426: 424: 410: 406: 405:"Irissometry" 399: 391: 387: 383: 379: 374: 369: 365: 361: 357: 350: 342: 338: 334: 330: 325: 320: 316: 312: 308: 301: 299: 290: 286: 282: 276: 272: 268: 264: 257: 249: 245: 241: 237: 232: 227: 223: 219: 215: 208: 200: 194: 189: 184: 180: 173: 165: 158: 150: 146: 141: 136: 131: 126: 122: 118: 114: 107: 105: 103: 98: 88: 85: 83: 80: 79: 73: 71: 67: 62: 58: 47: 43: 41: 31: 29: 25: 21: 408: 398: 363: 359: 349: 314: 310: 262: 256: 221: 217: 207: 178: 172: 163: 157: 120: 116: 57:eye trackers 53: 44: 37: 19: 18: 82:Pupilometer 20:Irissometry 429:Human iris 423:Categories 93:References 317:: 59–66. 123:(2): 20. 390:18986507 341:16713565 333:24096093 289:14969972 248:11604277 240:10878278 149:35142787 76:See also 382:7660606 140:8842542 409:GitHub 388:  380:  339:  331:  287:  277:  246:  238:  195:  147:  137:  70:GitHub 66:MATLAB 386:S2CID 337:S2CID 285:S2CID 244:S2CID 28:pupil 378:PMID 329:PMID 275:ISBN 236:PMID 193:ISBN 145:PMID 24:iris 368:doi 319:doi 267:doi 226:doi 183:doi 135:PMC 125:doi 425:: 407:. 384:. 376:. 364:35 362:. 358:. 335:. 327:. 315:92 313:. 309:. 297:^ 283:. 273:. 242:. 234:. 222:40 220:. 216:. 191:. 143:. 133:. 121:63 119:. 115:. 101:^ 72:. 392:. 370:: 343:. 321:: 291:. 269:: 250:. 228:: 201:. 185:: 166:. 151:. 127::

Index

iris
pupil
iris recognition
eye trackers
Corneal limbus
MATLAB
GitHub
Pupilometer
Psychophysiology



"Irissometry: Effects of Pupil Size on Iris Elasticity Measured With Video-Based Feature Tracking"
doi
10.1167/iovs.63.2.20
PMC
8842542
PMID
35142787
doi
10.1007/978-3-540-74549-5_82
ISBN
978-3-540-74548-8
"A 'minimum-wear-and-tear'meshwork for the iris"
doi
10.1016/S0042-6989(00)00068-7
PMID
10878278
S2CID
11604277

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