Boosting color saliency in image feature detection

By Joost van de Weijer, Theo Gevers, Andrew D. Bagdanov. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006

332 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Evaluating Color Descriptors for Object and Scene Recognition (2010, methodology): “HueSIFT. Van de Weijer et al. [ 14 ] introduce a concatenation of the hue histogram (see Section 3.1) with the SIFT descriptor.”
Recent advances and trends in visual tracking: A review (2011, background): “Van de Weijer et al. [30] applied an error propagation analysis to the hue transformation.”
Edge-Based Color Constancy (2007, unknown): “…can be computed from the average color derivative in the image given by: The Grey-Edge hypothesis originates from the observation that the color derivative distribution of images forms a relatively regular, ellipsoidlike shape, of which the long axis coincides with the light source color [20].”
A Co-Saliency Model of Image Pairs (2011, methodology): “In the past several years, attention models have been successfully applied to many fields, such as object recognition [1]–[3], image segmentation and understanding [4], adaptive coding [5], object tracking [6], image database querying, video retrieval and summary [7], [8].”
SIFT Meets CNN: A Decade Survey of Instance Retrieval (2016, methodology): “Evaluation has been conducted on several recognition benchmarks [93] of the descriptors such as HSV-SIFT [94], HueSIFT [95] and OpponentSIFT [93].”