Face recognition from RGB-D images utilizes 2 complementary types of image data, i.e. colour and depth images, to achieve more accurate recognition. In this paper, we propose a face recognition system based on deep learning, which can be used to verify and identify a subject from the colour and depth face images captured with a consumer-level RGB-D camera. To recognize faces with colour and dep...

A comparison of lossleess compression results is given for RGB, YCRCB and reversible JPEG 2000 color space. The paper describes the general conditions that rounding errors of a color transformation do not cumulate in the consecutive cycles of forward and inverse transformation. In particular, rounding errors of the RGB → YCRCB → RGB transformation do not accumulate in the consecutive transforma...

Hyperspectral imaging is an important visual modality with growing interest and range of applications. The latter, however, is hindered by the fact that existing devices are limited in either spatial, spectral, and/or temporal resolution, while yet being both complicated and expensive. We present a low cost and fast method to recover high quality hyperspectral images directly from RGB. Our appr...

While object recognition on 2D images is getting more and more mature, 3D understanding is eagerly in demand yet largely underexplored. In this paper, we study the 3D object detection problem from RGB-D data captured by depth sensors in both indoor and outdoor environments. Different from previous deep learning methods that work on 2D RGB-D images or 3D voxels, which often obscure natural 3D pa...

Introduction: The application of Whole Slide Images (WSI) as virtual slides (VS) is the clue of digital pathology. Two main factors limit currently the application of WSI in daily use: the scanning speed and the expectation of constant image quality. The automatic scan process should ensure a constant image quality at a high level. Meanwhile many libraries of VS exist for educational, research ...

Simple tone reproduction methods such as the Reinhard global photographic tonemapping operator are popular methods for mapping high-dynamic range images to a lowdynamic range display. However, these methods deal mainly with how luminance is mapped; much less attention has been paid to how a full RGB color is produced. We introduce a simple method, inspired by traditional photography’s use of po...

Introduction In November 2010, Microsoft released the Kinect RGB-D sensor as a new Natural User Interface (NUI) for its XBOX 360 gaming platform. The Kinect, like other RGB-D sensors, provides color information as well as the estimated depth for each pixel. At $150, the Kinect is an order of magnitude cheaper than similar sensors that had existed before it. This has dramatically reinvigorated i...

We present a feature extraction method for RGB-D data based on k-means clustering that builds on recent work by Coates et al. Using unsupervised learning methods we are able to automatically learn feature responses that combine all available information (color and depth) into one, concise representation. We show that depth information can substantially increase the recognition performance and t...

Recently introduced RGB-D cameras are capable of providing high quality synchronized videos of both color and depth. With its advanced sensing capabilities, this technology represents an opportunity to dramatically increase the capabilities of object recognition. It also raises the problem of developing expressive features for the color and depth channels of these sensors. In this paper we intr...

This paper compares the use of RGB and HSV histograms during the execution of an Evolutionary Algorithm. This algorithm generates abstract images that try to match the histograms of a target image. Three different fitness functions have been used to compare: the differences between the individual with the RGB histogram of the test image, the HSV histogram, and an average of the two histograms a...