In this paper we propose a challenging new computer vision task of inferring Bread Units (BUs) from food images. Assessing nutritional information and nutrient volume from a meal is an important task for diabetes patients. At the moment, diabetes patients learn the assessment of BUs on a scale of one to ten, by learning correspondence of BU and meals from textbooks. We introduce a large scale d...

Aims. We present Lithium abundance determination for a sample of K giant stars in the galactic bulge. The stars presented here are the only 13 stars with detectable Lithium line (6767.18Å) among ∼400 stars for which we have spectra in this wavelength range, half of them in Baade’s Window (b = −4) and half in a field at b = −6. Methods. The stars were observed with the GIRAFFE spectrograph of FL...

Detecting objects and their 6D poses from only RGB images is an important task for many robotic applications. While deep learning methods have made significant progress in visual object detection and segmentation, the object pose estimation task is still challenging. In this paper, we introduce an end-toend deep learning framework, named Deep-6DPose, that jointly detects, segments, and most imp...

Color-depth cameras (RGB-D cameras) have become the primary sensors in most robotics systems, from service robotics to industrial robotics applications. Typical consumergrade RGB-D cameras are provided with a coarse intrinsic and extrinsic calibration that generally does not meet the accuracy requirements needed by many robotics applications (e.g., high accuracy 3D environment reconstruction an...

This paper discusses the automatic texturing of building facades from thermal infrared image sequences. A fully automatic method is presented to refine GPS based positions using a relative orientation of the image sequence and preknowledge of a given building model in a bundle adjustment process. The resulting refined orientation parameters are used to project the infrared images of the sequenc...

In order to prevent artificial ripening tomato into markets to harm consumers' health, a double parallel genetic neural network identification system was designed. This system obtained tomato external color characteristic parameters (R, G, B) through the computer vision device and changed the RGB value into HIS value. Put tomato external color characteristic parameters as input, tomato maturity...

We present the first resolved-star photometry of VV124 (UGC4879) and find that this is the most isolated dwarf galaxy in the periphery of the Local Group. Based on imaging and spectroscopic follow up observations with the 6m BTA telescope, we resolve VV124 into 1560 stars down to the limiting magnitude levels of V ≃ 25.6 and I ≃ 23.9. The young blue stellar populations and emission gas are foun...

Recently, depth data is widely used in computer vision applications such as detection and tracking, which shows great promises in complicated environments due to its complementary natures to RGB data. However, previous worksmostly use depth as an auxiliary cue of RGB data and overlook its inherent advantage on motion detection. Intrinsically different from RGB data, points in depth map essentia...