Titlebook: Computer Vision -- ACCV 2012; 11th Asian Conferenc Kyoung Mu Lee,Yasuyuki Matsushita,Zhanyi Hu Conference proceedings 2013 Springer-Verlag

abnegate

Antagonism

FANG

Globally Minimal Path Method Using Dynamic Speed Functions Based on Progressive Wave Propagationdy visited by the wavefront are used to update the speed dynamically. Our framework can incorporate both the fast marching method and Dijkstra’s algorithm. We prove that the . can be found using our approach and demonstrate its advantage experimentally by applying it for segmentation of tubular structures in synthetic and real images.

EPT

Vanishing Points Estimation and Line Classification in a Manhattan Worlde camera frame. Then derive a quadratic which is employed to solve three orthogonal vanishing points formed by a line triplet. Finally, we develop a RANSAC-based approach to fulfill the task. The performance of proposed approach is demonstrated on the York Urban Database[3] and compared to the state-of-the-art method.

傲慢物

A Robust Stereo Prior for Human Segmentationre a stereo pair of cameras is available, and segmentation results are desired. As an application, we show how the prior can be inserted into a dual decomposition formulation for stereo, segmentation and human pose estimation.

急性

Texture Classification Based on BIMF Monogenic Signalser then, Local Binary Pattern (LBP) detected the features from the Monogenic-BIMFs space. Experiments demonstrate the LBP histogram of Monogenic-BIMFs present a better classification result than other state-of-the-art texture representation methods.

宴會(huì)

Co-regularized PLSA for Multi-view Clusteringscheme is employed for parameter estimation, and a local optimal solution is obtained through an iterative process. Extensive experiments are conducted on three real-world datasets and the compared results demonstrate the superiority of our approach.

cinder

Robust Multiple-Instance Learning with Superbagsdecoupled by performing them on different superbags. Label inference is performed on samples from separate superbags, and thus avoids label imputation on training samples in the same superbag. Experimental evaluations on standard datasets show consistent improvement over widely used approaches for multiple-instance learning.

Intercept

Hyperalgesia

0302-9743 utes the thoroughly refereed post-conference proceedings of the 11th Asian Conference on Computer Vision, ACCV 2012, held in Daejeon, Korea, in November 2012. The total of 226 contributions presented in these volumes was carefully reviewed and selected from 869submissions. The papers are organized i