L
Longbin Chen
Researcher at University of California, Santa Barbara
Publications - 19
Citations - 1051
Longbin Chen is an academic researcher from University of California, Santa Barbara. The author has contributed to research in topics: Image retrieval & Similarity measure. The author has an hindex of 15, co-authored 19 publications receiving 1043 citations. Previous affiliations of Longbin Chen include Chinese Academy of Sciences & Miami University.
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Face annotation for photo management
TL;DR: In this paper, a probability model is trained by mapping one or more sets of sample facial features to corresponding names of individuals, and the face is then annotated with the name.
Proceedings ArticleDOI
Automated annotation of human faces in family albums
TL;DR: The experimental evaluation has been conducted within a family album of few thousands of photographs and the results show that the proposed approach is effective and efficient in automated face annotation in family albums.
Journal ArticleDOI
Multiflash Stereopsis: Depth-Edge-Preserving Stereo with Small Baseline Illumination
TL;DR: This paper uses small baseline multiflash illumination to produce a rich set of feature maps that enable the acquisition of discontinuity preserving point correspondences and demonstrates the usefulness of these feature maps by incorporating them into two different dense stereo correspondence algorithms.
Proceedings ArticleDOI
Estimating face pose by facial asymmetry and geometry
TL;DR: The proposed robust pose estimation approach is able to track a face with fast motion in front of cluttered background and recover its pose robustly and accurately in real- time.
Proceedings ArticleDOI
Head pose estimation using Fisher Manifold learning
TL;DR: This work proposes a new learning strategy for head pose estimation that uses nonlinear interpolation to estimate the head pose using the learning result from face images of two head poses and outperforms existed methods, such as regression and multiclass classification method, on both synthesis and real face images.