Disparity based stereo image retrieval through univariate and bivariate models

A Simple and Efficient Cross-Sensor Retrieval Method for Retrieving Stereo Images by Multispectral Image

“…Our method achieved higher precision and a slightly lower efficiency in comparison with two methods using a single raw viewing image of stereo images. For our method, there is no need to like existing stereo image retrieval methods (Xu, Geng et al 2014, Chaker, Kaaniche et al 2015, Peng, Wang et al 2015, Peng, Luo et al 2017) to consume much time and effort to produce the orthoimage or DSM from stereo images, or to simulate the DSM for the query multispectral image (Ghamisi and Yokoya 2018). Moreover, our method is free from the influence of resampling processing on feature extraction and on image retrieval, since our method uses raw viewing images of stereo images rather than the orthoimage, which requires resampling processing during its production.…”

“…This has created a surging demand for effective stereo image retrieval methods to locate desired stereo images from massive remotely sensed images (Peng, Wang et al 2015, Yan, Shaker et al 2015, Qi, Liu et al 2017, Peng, Wang et al 2019). Existing stereo image retrieval methods (Xu, Geng et al 2014, Chaker, Kaaniche et al 2015, Peng, Wang et al 2015, Peng, Luo et al 2017) require users to submit a query with a stereo pair or triplet, and meet requirements of some users. However, some users only have a multispectral image, which is more easily acquired than stereo images, to submit a query.…”

“…This method achieved low retrieval precision, since different land cover types may be very similar in the DSM (Aguilar, Saldana et al 2014, Peng, Wang et al 2015, Ghamisi and Yokoya 2018, e.g., farmland and playgrounds. Xu, Geng et al (2014) and Chaker, Kaaniche et al (2015) performed stereo image retrieval with the stereo-extracted disparity information, targeting stereo images acquired by close-range imaging sensors. The disparity information relates to the image spatial resolution and the convergence angle of a stereo pair (Toutin 2004), and cannot be obtained from a multispectral image.…”

“…Feng, Ren et al (2011) employed stereo-extracted disparity to refine results from conventional image retrieval methods in a re-ranking scheme, achieving promising results when retrieving close-range stereo pairs. Chaker, Kaaniche et al (2015) proposed two methods through univariate and bivariate models in the wavelettransform domain, combing the visual contents and stereoextracted disparity information. Xu, Geng et al (2014) proposed a framework for object-based stereo image retrieval, using both color and stereo-extracted depth to detect objects from images.…”

A simple multi-feature based stereoscopic medical image retrieval system

“…These tags are re-ranked according to 3-D saliency values. A. Chaker et al proposed the two-retrieval method based on visual contents and the disparity information of the stereo images [9]. In this work, univariate and bivariate models are used separately to retrieve the images.…”