a redeye filter process is illustrated in fig1 a . an input image is first analyzed by a redeye detection stage 100 at a pixel level 103 and segmented into candidate redeye regions 104 . a further series of falsing and verification filters 106 are then applied to the candidate regions and a set of confirmed redeye regions 108 is thereby determined . a correction filter ( pixel modifier ) 102 is next applied to the confirmed regions and a final image 112 , corrected for redeye , is generated . in embodiments herein , a face detection algorithm is applied either as a component of an advantageous falsing and verification filter 106 , or after the set of confirmed red eye regions is initially determined at 108 . this face detection algorithm determines location and / or orientation of the face . this provides information as to where specifically that any eyes probably exist and / or where specifically that eyes probably do not exist within the image . fig1 b illustrates a process including analyzing an input image by a red eye detection stage 100 at a pixel level 103 and segmenting into candidate red eye regions 104 , as well as applying falsing and verification filters 116 to the candidate regions for determining a confirmed set of red eye regions 108 . in this embodiment , the falsing and verification filter 116 including a face detection process that determines location and / or orientation of the face that provides information as to where specifically that any eyes probably exist and / or where specifically that eyes probably do not exist within the image . fig1 c illustrates a process including analyzing an input image by a red eye detection stage 100 at a pixel level 103 and segmenting into candidate red eye regions 104 , as well as applying falsing and verification filters 106 to the candidate regions for determining a confirmed set of red eye regions 108 . in this embodiment , a face detection process 118 determines location and / or orientation of the face and provides information as to where specifically that any eyes probably exist and / or where specifically that eyes probably do not exist within the image . the face detection process 118 for determining false positives is performed upon confirmation of red eye regions at 108 , whereas in fig1 d , the face detection process 118 for determining false positives is performed after confirmation of red eye regions 108 and also after correction of the confirmed red eye regions 102 . referring to fig2 a - 2b , a woman wearing red earrings is photographed and red eye artefact is present within the image in both of her eyes . the earrings that she is wearing are similar in color to the red color appearing as photographic artefact in her eyes . while conventional red eye correction algorithms would adjust the color of the eyes as well as the earrings , the present invention serves to distinguish the actual red eye artefact appearing in the woman &# 39 ; s eyes from her red earrings . it does this by determining that the woman &# 39 ; s eyes probably are at the location of the real red eye artefact based on determining the location and / or orientation of the woman &# 39 ; s face , while also determining that the woman &# 39 ; s earrings are at a location of a false positive , because the earrings are at respective locations within the digital image relative to her facial position and / or orientation that do not correspond to where her eyes would probably be , based on the determined location and / or orientation of her face . in the image provided at fig3 a - 3b , one can see that an initial red eye auto - detection algorithm correctly found the two actual red - eye regions and corrected them with regard to their color . however , the algorithm also mistakenly found the two earrings and further corrected each of them . fig4 a - 4b illustrate the advantageous use of a face detection algorithm that determines location and orientation of the woman &# 39 ; s face . the box shown in fig4 a - 4b encloses substantially the woman &# 39 ; s face . the red side of the box indicates the top of her head indicating a determination of facial orientation . the algorithm figures this out based on location of features of the woman &# 39 ; s face such as eyes , nose , mouth cheeks , chin , eyebrows , hairline , and / or other features of the woman &# 39 ; s head or other body parts such as her neck , shoulders , torso and / or legs either appearing or not appearing in certain directions relative to the face within the digital image , and / or the shape of the head , and / or the appearance of ears , among other possible factors ( see , e . g ., us applications us2006 / 0204110 , pct / us2006 / 021393 , us2002 / 0172419 to lin et al ; us2002 / 0126893 to held et al us2005 / 0232490 to itagaki et al . and us 2004 / 0037460 to luo et al ., each incorporated by reference ). in the example of fig4 a - 4b , one of the earrings is within the face detection box ( i . e ., the right earring ), while the other earring is outside the face detection box ( i . e ., the left earring ). the red left earring is deemed to have lower probability of being red eye artefact , because it is outside the box , than features such as the woman &# 39 ; s eyes and the right earring , because these are inside the box . in addition , both of the woman &# 39 ; s red earrings are located near sides of the box , while her eyes are detected within the box at a location that is more probably where her eyes would be than at the sides of the box . thus , both earrings now have reduced probability of being red eye artefact than the woman &# 39 ; s red eyes , possibly with the left earring having the lower probability of the two earrings . using orientation detection , the red eye artefact within each of the woman &# 39 ; s eyes is determined to be at a location that is probably where her eyes would be and thus are deemed to be red eye artefact to be corrected , while the red earrings are determined to be at a location that is probably not where her eyes would be and thus deemed not to be red eye artefact . the red side of the box that indicates the “ top ” of the woman &# 39 ; s head or face , or the “ up ” side of her face may be obtained by applying the face detection algorithm on the image as indicated , and also by using face tracking which uses multiple preview images or other reference images such as postview images or images captured simultaneously with the main image of fig2 a - 2b . in the described example , the position of every detected red eye region is analyzed in respect to the face location . two correct red eyes are found to be positioned inside the face region and in agreement with the orientation and are therefore considered red eye candidates . the left earring region is found to be inside the face box but , because of orientation mismatch , is classified as a false positive and filtered out . the right earring region is found to be outside the face box , but very close to the face regions . in this case it is considered that the likelihood of another face being present is minimal and therefore the region is classified as a false positive and removed . if a second face is detected within the image , then the red eye process can proceed with respect to that face , and any red eye artefact can be removed in that second process . other possible red eye regions that are located far enough from the face are unaffected and therefore remain red eye candidates . fig5 a - 5b illustrate the corrected image of the woman having actual red eye artefact corrected and the false positive earrings returned to their initially captured red color . in the examples of fig2 a - 5b , the horns being worn by the woman , perhaps at some holiday party , were not initially detected as red eye artefact . if they were initially deemed to be red eye artefact , then the same process as with the earrings would have identified these as false positives as well . while an exemplary drawings and specific embodiments of the present invention have been described and illustrated , it is to be understood that that the scope of the present invention is not to be limited to the particular embodiments discussed . thus , the embodiments shall be regarded as illustrative rather than restrictive , and it should be understood that variations may be made in those embodiments by workers skilled in the arts without departing from the scope of the present invention as set forth in the appended claims , and structural and functional equivalents thereof . in addition , in methods that may be performed according to preferred embodiments herein and that may have been described above , the operations have been described in selected typographical sequences . however , the sequences have been selected and so ordered for typographical convenience and are not intended to imply any particular order for performing the operations , except for those where a particular order may be expressly set forth or where those of ordinary skill in the art may deem a particular order to be necessary . in addition , all references cited herein as well as the background , invention summary , abstract and brief description of the drawings , as well as u . s . pat . nos . 6 , 407 , 777 , 7 , 315 , 631 and 7 , 336 , 821 , and us published patent applications nos . 2005 / 0041121 , 2005 / 0031224 , 2005 / 0140801 , 2006 / 0204110 , 2006 / 0093212 , 2006 / 0120599 , 2007 / 0110305 and 2006 / 0140455 , and pct / ep2006 / 008358 , and u . s . patent application ser . nos . 60 / 773 , 714 , 60 / 804 , 546 , 60 / 865 , 375 , 60 / 865 , 622 , 60 / 829 , 127 , 60 / 829 , 127 , 60 / 821 , 165 , 60 / 892 , 882 , 60 / 945 , 558 , 60 / 915 , 669 10 / 772 , 767 , 11 / 554 , 539 , 11 / 464 , 083 , 11 / 462 , 035 , 11 / 282 , 954 , 11 / 027 , 001 , 10 / 842 , 244 , 11 / 024 , 046 , 11 / 233 , 513 , 11 / 753 , 098 , 11 / 753 , 397 , 11 / 766 , 674 , 11 / 769 , 206 , 11 / 772 , 427 and 11 / 460 , 218 , are all incorporated by reference into the detailed description of the preferred embodiments as disclosing alternative embodiments .