| 330 | } |
| 331 | |
| 332 | static Shape EstartEyeMouth( |
| 333 | const DetectorParameter& detpar_roi, // in: detpar wrt the ROI |
| 334 | const Image& face_roi, // in |
| 335 | const Shape& meanshape) // in |
| 336 | { |
| 337 | Shape startshape; |
| 338 | Shape meanshape1(meanshape); |
| 339 | if (Valid(detpar_roi.mouthx) && // both eyes and mouth? |
| 340 | Valid(detpar_roi.lex) && |
| 341 | Valid(detpar_roi.rex)) |
| 342 | { |
| 343 | FlipIfLeftFacing(meanshape1, detpar_roi.eyaw, face_roi.cols); |
| 344 | startshape = AlignMeanShapeToBothEyesMouth(detpar_roi, meanshape1); |
| 345 | FlipIfLeftFacing(startshape, detpar_roi.eyaw, face_roi.cols); |
| 346 | } |
| 347 | else if (Valid(detpar_roi.lex) && // both eyes? |
| 348 | Valid(detpar_roi.rex)) |
| 349 | { |
| 350 | FlipIfLeftFacing(meanshape1, detpar_roi.eyaw, face_roi.cols); |
| 351 | // TODO Tune the following code, what approach is best? |
| 352 | if (detpar_roi.eyaw == EYAW00) |
| 353 | startshape = AlignMeanShapeToBothEyesEstMouth(detpar_roi, meanshape1); |
| 354 | else |
| 355 | startshape = AlignMeanShapeToBothEyesNoMouth(detpar_roi, meanshape1); |
| 356 | FlipIfLeftFacing(startshape, detpar_roi.eyaw, face_roi.cols); |
| 357 | } |
| 358 | else if (Valid(detpar_roi.mouthx) && // left eye and mouth? |
| 359 | Valid(detpar_roi.lex)) |
| 360 | { |
| 361 | FlipIfLeftFacing(meanshape1, detpar_roi.eyaw, face_roi.cols); |
| 362 | startshape = AlignMeanShapeToLeftEyeMouth(detpar_roi, meanshape1); |
| 363 | FlipIfLeftFacing(startshape, detpar_roi.eyaw, face_roi.cols); |
| 364 | } |
| 365 | else if (Valid(detpar_roi.mouthx) && // right eye and mouth? |
| 366 | Valid(detpar_roi.rex)) |
| 367 | { |
| 368 | FlipIfLeftFacing(meanshape1, detpar_roi.eyaw, face_roi.cols); |
| 369 | startshape = AlignMeanShapeToRightEyeMouth(detpar_roi, meanshape1); |
| 370 | FlipIfLeftFacing(startshape, detpar_roi.eyaw, face_roi.cols); |
| 371 | } |
| 372 | else // last resort: use the face det rectangle (can't use facial features) |
| 373 | { |
| 374 | startshape = |
| 375 | AlignMeanShapeToFaceDet(detpar_roi, meanshape1, |
| 376 | FACERECT_SCALE_WHEN_NO_EYES, face_roi); |
| 377 | } |
| 378 | return startshape; |
| 379 | } |
| 380 | |
| 381 | // Align the model meanshape to the detpar from the face and feature dets. |
| 382 | // Complexity enters in because the detected eyes and mouth may be useful |
no test coverage detected