Titlebook: Computer Vision -- ECCV 2014; 13th European Confer David Fleet,Tomas Pajdla,Tinne Tuytelaars Conference proceedings 2014 Springer Internati

反对

Olaf Prante,Miriam Dörfler,Peter Gmeinerntains appearance and motion models of foreground and background for each superpixel, computes foreground and background likelihoods for each pixel based on the models, and determines pixelwise labels using binary belief propagation. The estimated labels trigger the update of appearance and motion m

Extemporize

得意牛

鼓掌

Distribution of Dopamine Receptors to facilitate image editing operations such as relighting and re-texturing. Although current single-image intrinsic image methods are able to obtain an approximate decomposition, image operations involving the human face require greater accuracy since slight errors can lead to visually disturbing r

immunity

乐章

https://doi.org/10.1007/978-3-642-69948-1compositional model for human detection in natural scenes. Basic concepts and mature techniques in text recognition are introduced into this model. A discriminative alphabet, each grapheme of which is a mid-level element representing a body part, is automatically learned from bounding box labels. Ba

使习惯于

同义联想法

https://doi.org/10.1007/978-981-19-7439-7ame is worthy of being captured and stored. We propose to automatically predict . in unedited egocentric video—that is, those frames that look like they could have been intentionally taken photos. We develop a generative model for snap points that relies on a Web photo prior together with domain-ada

guzzle

https://doi.org/10.1007/978-3-319-10602-13D; activity recognition and understanding; artificial intelligence; computational photography; computer

Missile