Titlebook: Computer Vision - ACCV 2014 Workshops; Singapore, Singapore C.V. Jawahar,Shiguang Shan Conference proceedings 2015 Springer International P

惡化

書目名稱Computer Vision - ACCV 2014 Workshops影響因子(影響力)




書目名稱Computer Vision - ACCV 2014 Workshops影響因子(影響力)學(xué)科排名




書目名稱Computer Vision - ACCV 2014 Workshops網(wǎng)絡(luò)公開度




書目名稱Computer Vision - ACCV 2014 Workshops網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision - ACCV 2014 Workshops被引頻次




書目名稱Computer Vision - ACCV 2014 Workshops被引頻次學(xué)科排名




書目名稱Computer Vision - ACCV 2014 Workshops年度引用




書目名稱Computer Vision - ACCV 2014 Workshops年度引用學(xué)科排名




書目名稱Computer Vision - ACCV 2014 Workshops讀者反饋




書目名稱Computer Vision - ACCV 2014 Workshops讀者反饋學(xué)科排名

記憶法

小蟲

支架

GIBE

A Two-Step Image Inpainting Algorithm Using Tensor SVDmethod performs inpainting of the target image in two steps. At the first step, the target region is inpainted using HOSVD-based filtering of the candidate patches selected from the source region. It helps to propagate the structure and color smoothly in the target region and restrict to appear unwa

inhibit

inhibit

Text Localization Based on Fast Feature Pyramids and Multi-Resolution Maximally Stable Extremal Regiion approach that exploits Multi-resolution Maximally Stable Extremal Regions to discard false-positive detections from the text confidence maps generated by a Fast Feature Pyramid based sliding window classifier. The use of a multi-scale approach during both feature computation and connected compon

Albinism

A Hybrid Approach to Detect Texts in Natural Scenes by Integration of a Connected-Component Method aoding. Achieving such text detection is challenging due to complex backgrounds, non-uniform illumination, and variations in text font, size, and orientation. In this paper, we present a novel hybrid approach for detecting text robustly in natural scenes. We connect two text-detection methods in para

土產(chǎn)

exceed

Efficient Character Skew Rectification in Scene Text Imagestuitive glyph properties and which can be efficiently computed in a linear time. The estimators are evaluated on a synthetically generated data (including Latin, Cyrillic, Greek, Runic scripts) and real scene text images, where the skew rectification by the proposed method improves the accuracy of a