发明名称 |
Method for inferring scenes from test images and training data using probability propagation in a markov network |
摘要 |
A method infers a scene from a test image. During a training phase, a plurality of images and corresponding scenes are acquired. Each of the images and corresponding scenes are partitioned respectively into a plurality of image patches and scene patches. Each image patch is represented as an image vector, and each scene patch is represented as a scene vector. The image vectors and scene vectors are modeled as a network. During an inference phase, the test image is acquired. The test image is partitioned into a plurality of test image patches. Each test image patch is represented as a test image vector. Candidate scene vectors corresponding to the test image vectors are located in the network. Compatibility matrices for the candidate scene vectors are determined, and probabilities of the compatibility matrices are propagated in the network until convergence to infer the scene from the test image. |
申请公布号 |
EP1026631(A3) |
申请公布日期 |
2004.01.21 |
申请号 |
EP20000101330 |
申请日期 |
2000.01.25 |
申请人 |
MITSUBISHI DENKI KABUSHIKI KAISHA |
发明人 |
FREEMAN, WILLIAM T.;PASZTOR, EGON C.;MOGHADDAM, BABACK |
分类号 |
G06T7/00;G06K9/00;G06T7/20;G06T7/40 |
主分类号 |
G06T7/00 |
代理机构 |
|
代理人 |
|
主权项 |
|
地址 |
|