A Depth Multiple Hierarchical StereoNet by Using Thermodynamic Color Guidance
نویسندگان
چکیده
منابع مشابه
Markerless Motion Capture using multiple Color-Depth Sensors
With the advent of the Microsoft Kinect, renewed focus has been put on monocular depth-based motion capturing. However, this approach is limited in that an actor has to move facing the camera. Due to the active light nature of the sensor, no more than one device has been used for motion capturing so far. In effect, any pose estimation must fail for poses occluded to the depth camera. Our work i...
متن کاملHierarchical Depth Mapping from Multiple Cameras
We present a method to estimate a dense and sharp depth map using multiple cameras. A key issue in obtaining sharp depth map is how to overcome the harmful in uence of occlusion. Thus, we rst propose an occlusion-overcoming strategy which selectively use the depth information from multiple cameras. With a simple sort and discard technique, we resolve the occlusion problem considerably at a slig...
متن کاملColor-specific depth mechanisms revealed by a color-contingent depth aftereffect
Models of stereoscopic depth perception for both natural and random-dot images have focused mainly on the matching of achromatic features of binocular images. Recently, a growing body of research has investigated whether chromatic features can also contribute to the construction of stereoscopic depth. Here we present experiments yielding color-contingent depth aftereffects comparable in magnitu...
متن کاملDepth and depth-color coding using shape-adaptive wavelets
We present a novel depth and depth-color codec aimed at free-viewpoint 3D-TV. The proposed codec uses a shape-adaptive wavelet transform and an explicit encoding of the locations of major depth edges. Unlike the standard wavelet transform, the shape-adaptive transform generates small wavelet coefficients along depth edges, which greatly reduces the bits required to represent the data. The wavel...
متن کاملPeople Detection Using Color and Depth Images
We present a strategy that combines color and depth images to detect people in indoor environments. Similarity of image appearance and closeness in 3D position over time yield weights on the edges of a directed graph that we partition greedily into tracklets, sequences of chronologically ordered observations with high edge weights. Each tracklet is assigned the highest score that a Histograms-o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1738/1/012067