학술대회논문

실감교류인체감응솔루션연구단의 주요 학술대회 성과를 소개합니다.

Local Feature Descriptors for 3D Object Recognition in Ubiquitous Virtual Reality

Local Feature Descriptors for 3D Object Recognition in Ubiquitous Virtual Reality
국내/국제 국제 국가명 한국
학술대회명 International Symposium on Ubiquitous Virtual Reality(ISUVR) 2012 개최연월 2012-08

저자 Youngkyoon Jang, Woontack Woo
초록
This paper represents 3D object recognition, which is an extension of the common feature point-based object recognition, based on novel descriptors utilizing local angles (for shape), gradient orientations (for texture of corners), and color information. First, the proposed algorithm extracts complementary feature points by randomly sampling the positions of the object edges. Then, it generates the proposed descriptors combining local angle patterns, gradient orientations, and color information. After making the descriptors, the method learns a codebook to enable the proposed algorithm to integrate the extracted feature points into a histogram through this codebook. Finally, the method classifies the query histogram based on a classifier. We expect that the proposed algorithm is robust to less textured and similar-shaped objects. The proposed method could be used as a core technology of the initial step of the information retrieval.
키워드 Local Angle Pattern (LAP), object recognition, codebook, Bag-of-Words (BoWs)

과제명 4D+ 증강현실을 위한 실시간 정합 및 지능형 정보증강 기술 연구
연구기관 한국과학기술원 연구책임자 우운택