Traditional RGB reflectance and light data suffers from the problem of metamerism and is not suitable for rendering purposes where exact color reproduction under many different lighting conditions is needed. Nowadays many setups for cheap and fast acquisition of RGB or similar trichromatic datasets are available. In contrast to this, multior even hyper-spectral measurements require costly hardw...

A new formalism to generate pseudocolor spectra is introduced. Therefore, a para-metric path in the RGB{color cube is derived to guarantee constant brightness progression. The resulting spiral{like curve allows the generation of various color spectra by adjusting the spiral's frequency and phase. The formalism allows the determination of the resulting number of colors in dependency of both para...

Non-destructive in-season grain yield (GY) prediction would strongly facilitate the selection process in plant breeding but remains challenging for phenologically and morphologically diverse germplasm, notably under high-yielding conditions. In recent years, application of drones (UAV) spectral sensing has been established, data acquisition processing have to be further improved with respect ef...

In this paper, we propose a novel watermarking based on the spatial q-log domain. After decomposing the RGB information of the cover image, we apply the q-log transform to obtain the q-log domain frequency. We embed the watermark into the low-frequency of q-SVD domain in order to achieve the robustness of watermark. We choose in our method the Quantization Index Modulation (QIM) based watermark...

Depth cameras (rgb-d) can provide dense 3D point clouds at a high frequency. Using the icp algorithm, these point clouds can be matched to deduce the transformation between them and consequently the 6 degrees-of-freedom motion of the camera. This allows to build a tracker that can be used, for instance, as a front-end to a slam system. However, as shown by the large amount of papers recently pu...

The paper deals with the problem of recognition of 3D objects for the purpose of their subsequent grasping and manipulation by a two-handed robot. We describe the idea of a general framework for object recognition rooted in the compositional model of the world. This approach threats complex objects as entities constructed of simpler, elementary ones, termed solids. In particular, we focus on re...

An unsupervised algorithm for speaker’s lip segmentation is presented in this paper. A color video sequence of speaker’s face is acquired, under natural lighting conditions and without any particular make-up. First, a logarithmic color transform is performed from RGB to HI (hue, intensity) color space and sequence dependant parameters are evaluated. Second, a statistical approach using Markov r...

In this study, we address the problem of online RGB-D tracking which confronted with various challenges caused by deformation, occlusion, background clutter, and abrupt motion. Various trackers have different strengths and weaknesses, and thus a single tracker can merely perform well in specific scenarios. We propose a 3D tracker-level fusion algorithm (TLF3D) which enhances the strengths of di...

A common approach for color image processing is to rst transform the RGB image to a new color space (such as LHS and YIQ), do the processing, and then transform back to RGB space. In many applications, only the luminance component is processed, and the hue and saturation are preserved. However, when the processed values in the new color system are transformed back to RGB, the transformed values...

We present 3DMV, a novel method for 3D semantic scene segmentation of RGB-D scans in indoor environments using a joint 3Dmulti-view prediction network. In contrast to existing methods that either use geometry or RGB data as input for this task, we combine both data modalities in a joint, end-to-end network architecture. Rather than simply projecting color data into a volumetric grid and operati...