In order to avoid an expensive manual labelling process or to learn object classes autonomously without human intervention, object discovery techniques have been proposed that extract visually similar objects from weakly labelled videos. However, the problem of discovering small or medium sized objects is largely unexplored. We observe that videos with activities involving human-object interact...

We analyze the angular momentum evolution from the red giant branch (RGB) to the horizontal branch (HB) and along the HB. Using rotation velocities for stars in the globular cluster M13, we find that the required angular momentum for the fast rotators is up to 1 − 3 orders of magnitude (depending on some assumptions) larger than that of the sun. Planets of masses up to five times Jupiter’s mass...

Real-time 3D reconstruction of the human body has many applications in anthropometry, telecommunications, gaming, fashion, and other areas of human-computer interaction. In this paper a novel framework is presented for reconstructing the 3D model of the human body from a sequence of RGB-D frames. The reconstruction is performed in real time while the human subject moves arbitrarily in front of ...

A spectral turn method is presented as a spectral based color correction method compatible with the standard RGB system by applying the idea of a multi-spectral method. The multi-spectral based color reproduction technique has been proposed for providing independent color of device and viewing conditions. However, it is difficult to replace the RGB devices with high cost multi-spectral devices ...

GB in graphics is both a way of specifying color and a way of viewing color. Graphics algorithms manipulate RGB colors, and the images produced by graphics algorithms are encoded as RGB pixels and displayed on devices that render these pixels by emitting RGB light. Colored images are also used to specify color in graphics. These images may be captured by cameras or scanners, interactively drawn...

We present a new method to reconstruct a temporally coherent 3D animation from single or multi-view RGB-D video data using unbiased feature point sampling. Given RGB-D video data, in form of a 3D point cloud sequence, our method first extracts feature points using both color and depth information. In the subsequent steps, these feature points are used to match two 3D point clouds in consecutive...

In this chapter, we propose a pixel adjustment procedure for digital watermarking methods using uniform color space. Many digital watermarking methods use uniform color space due to the convenience of controlling image quality (Yoshiura & Echizen, 2006). However, there is the problem that watermarked RGB integer pixel values in such methods are not quite corresponding to the watermarked real-nu...

In this thesis, we developed an RGB-D-based 3D reconstruction framework with a special emphasis on out-of-core bundle adjustment. Our approach is suitable for 3D workpiece reconstruction as well as for the reconstruction of arbitrary scenes. We first acquire RGB-D data of the scene by using a hand-held RGB-D sensor. The acquired depth map is preprocessed to achieve reduced sensor noise. Camera ...

This paper addresses the problem of inferring 3D human attention in RGB-D videos at scene scale. 3D human attention describes where a human is looking in 3D scenes. We propose a probabilistic method to jointly model attention, intentions, and their interactions. Latent intentions guide human attention which conversely reveals the intention features. This mutual interaction makes attention infer...