Titlebook: Computer Vision - ACCV 2006; 7th Asian Conference P. J. Narayanan,Shree K. Nayar,Heung-Yeung Shum Conference proceedings 2006 Springer-Verl

起来了

字谜游戏

Shift-Invariant Image Denoising Using Mixture of Laplace Distributions in Wavelet-Domain wavelet-domain hidden Markov tree method. The experimental results show that the proposed method gives enhanced image estimation results in the PSNR sense and better visual quality over a wide range of noise variance.

Ledger

星球的光亮度

Towards a Guaranteed Solution to Plane-Based Self-calibrationaneously estimate the camera intrinsic parameters and the Euclidean structure of one 3D plane. A solution is usually obtained by solving a non-linear system via local optimization, with the critical issue of parameter initialization, especially the focal length. Arguing that these five parameters ar

使人烦燥

Plane-Based Calibration and Auto-calibration of a Fish-Eye Cameratically estimates the centre-of-distortion (COD), distortion parameters, and other conventional camera intrinsics. We fulfil this by a three-stage algorithm. Each stage accounts for one of the above three calibration tasks. Our main contributions reside in the second stages, in which we design a nin

无聊的人

Stereo Matching Using Iterated Graph Cuts and Mean Shift Filteringollowing two steps. In the first step, given an estimated sparse RDM (Reliable Disparity Map), we obtain an updated dense disparity map through a new constrained energy minimization framework that can cope with occlusion. The graph cuts technique is employed for the solution of the proposed stereo m

Expurgate

Augmented Stereo Panoramasich allows the authors of virtual exhibition systems to produce an augmented stereo panorama by interactively integrating stereo object movies into a stereo panorama. When navigating in the augmented stereo panorama with a stereoscopic display, the user can directly browse the stereo object movies t

regale

A Local Basis Representation for Estimating Human Pose from Cluttered Imagesto estimate human upper body pose from single images in cluttered backgrounds. The method takes the image window with a dense grid of local gradient orientation histograms, followed by non negative matrix factorization to learn a set of bases that correspond to local features on the human body, enab

locus-ceruleus

stroke