Gradient field descriptor for sketch based retrieval and localization
Gradient field descriptor for sketch based retrieval and localization
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用于基于草图的检索和定位的梯度场描述符
DOI：
10.1109/icip.2010.5649331
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发表时间：
2010
期刊：
影响因子：
--
通讯作者：
Hu R
中科院分区：
文献类型：
--
作者：
Hu R
我们提出了一个图像检索系统驱动的手绘草图描绘形状的查询。我们引入梯度场HoG（GF-HOG）作为一个描绘不变的图像描述符，封装在草图的局部空间结构，方便高效的基于码本的检索。我们在两个数据集（Flickr 160，ETHZ扩展对象）上显示了3个主要描述符（自相似性，SIFT，HoG）的检索准确性提高，并解释了GF-HOG如何与RANSAC相结合来定位相关图像中的草图对象。我们还展示了一个原型草图驱动的照片蒙太奇应用程序的基础上，我们的系统。
We present an image retrieval system driven by free-hand sketched queries depicting shape. We introduce Gradient Field HoG (GF-HOG) as a depiction invariant image descriptor, encapsulating local spatial structure in the sketch and facilitating efficient codebook based retrieval. We show improved retrieval accuracy over 3 leading descriptors (Self Similarity, SIFT, HoG) across two datasets (Flickr160, ETHZ extended objects), and explain how GF-HOG can be combined with RANSAC to localize sketched objects within relevant images. We also demonstrate a prototype sketch driven photo montage application based on our system.