• Title, Summary, Keyword: Outline of Mouth Region

Search Result 2, Processing Time 0.022 seconds

A Feature Vector Generation Technique through Gradient Correction of an Outline in the Mouth Region (입 영역에서 외곽선의 기울기 보정을 통한 특징벡터 생성 기법)

  • Park, Jung Hwan;Jung, Jong Jin;Kim, Guk Boh
    • Journal of Korea Multimedia Society
    • /
    • v.17 no.10
    • /
    • pp.1141-1149
    • /
    • 2014
  • Recently, various methods to effectively eliminate the noise are researched in image processing techniques. However, the conventional noise filtering techniques, which remove most of the noise, are less efficient for remained noise detection after filtering due to exploiting no face feature information. In this paper, we proposed a feature vector generation technique in the mouth region by distinguishing and revising the remained noise through gradient correction, when the outline is extracted after performing noise filtering.

METHODS OF EYEBROW REGION EXTRACRION AND MOUTH DETECTION FOR FACIAL CARICATURING SYSTEM PICASSO-2 EXHIBITED AT EXPO2005

  • Tokuda, Naoya;Fujiwara, Takayuki;Funahashi, Takuma;Koshimizu, Hiroyasu
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • /
    • pp.425-428
    • /
    • 2009
  • We have researched and developed the caricature generation system PICASSO. PICASSO outputs the deformed facial caricature by comparing input face with prepared mean face. We specialized it as PICASSO-2 for exhibiting a robot at Aichi EXPO2005. This robot enforced by PICASSO-2 drew a facial caricature on the shrimp rice cracker with the laser pen. We have been recently exhibiting another revised robot characterized by a brush drawing. This system takes a couple of facial images with CCD camera, extracts the facial features from the images, and generates the facial caricature in real time. We experimentally evaluated the performance of the caricatures using a lot of data taken in Aichi EXPO2005. As a result it was obvious that this system were not sufficient in accuracy of eyebrow region extraction and mouth detection. In this paper, we propose the improved methods for eyebrow region extraction and mouth detection.

  • PDF