SqueezeFace: Integrative Face Recognition Methods with LiDAR Sensors

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Statistic</td><td class="align_center">RGB</td><td class="align_center"><span style="width: 143.441ptpx;"><svg height="12.4764pt" id="M61" style="vertical-align:-3.1685pt" version="1.1" viewbox="-0.0498162 -9.3079 143.441 12.4764" width="143.441pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M631 18C609 24 585 35 559 65C534 91 514 117 478 169C448 214 406 281 389 313C462 346 516 399 516 485C516 545 490 590 449 616C412 641 363 650 290 650H42V622C120 615 128 612 128 527V125C128 40 120 34 38 28V0H300V28C221 34 212 40 212 125V284H244C295 284 312 272 329 244C359 195 395 133 430 84C475 19 516 -3 592 -7C603 -8 615 -8 627 -8L631 18ZM212 316V563C212 591 215 602 223 607C231 613 248 617 277 617C352 617 423 577 423 469C423 415 407 375 368 345C343 324 310 316 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441 115V712C404 700 337 684 285 678V653C357 648 362 645 362 580V437C339 446 309 449 295 449C159 449 38 340 38 201C38 61 143 -12 223 -12C234 -12 261 -6 301 17L362 53V-12C420 9 495 22 517 26V51ZM362 85C338 67 301 51 266 51C201 51 128 109 128 228C128 373 212 411 259 411C296 411 338 395 362 360V85Z"></path></g></svg></span></td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Number of output classes</td><td class="align_center">83</td><td class="align_center">83</td></tr><tr><td class="align_left">Number of training images</td><td class="align_center">248</td><td class="align_center">248</td></tr><tr><td class="align_left">Number of testing images</td><td class="align_center">536</td><td class="align_center">536</td></tr><tr><td class="align_left">Testing accuracy</td><td class="align_center">0.9973</td><td class="align_center">0.9977</td></tr><tr><td class="align_left">Testing <svg height="8.68572pt" id="M62" style="vertical-align:-0.0498209pt" version="1.1" viewbox="-0.0498162 -8.6359 14.2836 8.68572" width="14.2836pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M584 650H137L131 622C214 614 217 612 200 521L125 127C109 41 101 35 23 28L17 0H288L294 28C201 35 193 42 209 128L242 309H348C440 309 442 300 443 226H471L510 422H482C452 354 449 348 357 348H251L295 575C302 609 304 615 338 615H426C502 615 517 604 526 581C534 560 536 524 537 492L565 494C574 554 583 631 584 650Z"></path></g><g transform="matrix(.013,0,0,-0.013,7.895,0)"><path d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z"></path></g></svg> score</td><td class="align_center">0.8884</td><td class="align_center">0.9036</td></tr><tr><td class="align_left">Best threshold</td><td class="align_center">0.7255</td><td class="align_center">0.8026</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Face verification performance comparison on three-shot learning between the RGB-only model and proposed three-sensor-data-type model.</div>

Journal of Sensors

SqueezeFace: Integrative Face Recognition Methods with LiDAR Sensors

Table 2