The wide availability of inexpensive RGB-D cameras such as Microsoft’s Kinect presents an opportunity to significantly improve the sensing capabilities required for human-robot interaction. In this paper we present an intent recognition system that demonstrates the potential of RGB-D cameras for systems that must interpret human activities. We also discuss systems we are currently developing an...

Many vision systems use skin detection as a principal component. Skin detection algorithms, normally evaluate a single and thus limited color model, such as HSV, Y CrCb, YUV, RGB, normalized RGB, etc. Their limited performance, however, suggests that they are looking at the incorrect color models. This paper describes a new constructive induction algorithm that creates adequate attributes for s...

We introduce a novel RGB-D patch descriptor designed for detecting coplanar surfaces in SLAM reconstruction. The core of our method is a deep convolutional neural net that takes in RGB, depth, and normal information of a planar patch in an image and outputs a descriptor that can be used to find coplanar patches from other images. We train the network on 10 million triplets of coplanar and non-c...

Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. In this paper we have investigate two methods of RGB image steganography one is pixel indicator technique and other is triple-A algorithem.They uses the same principle of LSB, where the secret is hidden in the least significant bits of the pixels, with more randomization i...

Interpolation technique in color image demosaicing is a big challenge to obtain RGB channels as perceived by humans. The existing demosaicing methods adopt i terative residual interpolation (IRI) technique, which performs iterations on the residuals. These methods are unable to reconstruct G channel efficiently with less iterations. Hence a new demosaicing method is proposed, which performs les...

In this paper we extend and generalize our previously published approach on RGB-D based fruit recognition to be able to recognize different kinds of objects in front of our mobile system. We therefore firstly extend our segmentation to use depth filtering and clustering with a watershed algorithm on the depth data to detect the target to be recognized. We forward the processed data to extract R...

The use of RGB-Depth (RGB-D) sensors for assisting visually impaired people (VIP) has been widely reported as they offer portability, function-diversity and cost-effectiveness. However, polarization cues to assist traversability awareness without precautions against stepping into water areas are weak. In this paper, a polarized RGB-Depth (pRGB-D) framework is proposed to detect traversable area...

Image Steganography is the popular method to hide sensitive information behind image and that is not the only reason, the hidden information is invisible to naked eyes so that no one can easily predict the secret information behind the image. In this paper we are introducing a new technique for image stenography which increases the capacity of information carried by image. Image stenography was...

CMYK vs. RGB Color images are printed on paper by separating their colors into four component parts: cyan, magenta, yellow, and black ( CMYK ). Each of the colors in an image is created by assigning a percentage from 0–100 to each of the aforementioned colors (for example, a red color could be created from 0% cyan, 100% yellow, 100% magenta, and 0% black). The color image is then printed on a m...

Capturing natural scenes with high dynamic range content using conventional RGB cameras generally results in saturated and underexposed and therefore compromising image areas. Furthermore the image lacks color accuracy due to a systematic color error of the RGB color filters. The problem of the limited dynamic range of the camera has been addressed by high dynamic range imaging (HDRI): Several ...