Learn More
In this paper, we show that the seminal, biologically-inspired saliency model by Itti et al. [21] is still competitive with current state-of-the-art methods for salient object segmentation if some important adaptions are made. We show which changes are necessary to achieve high performance, with special emphasis on the scale-space: we introduce a twin(More)
We present a novel method based on saliency and segmentation to generate generic object candidates from RGB-D data. Our method uses saliency as a cue to roughly estimate the location and extent of the objects present in the scene. Salient regions are used to glue together the segments obtained from over-segmenting the scene by either color or depth(More)
  • 1