Color and Depth-Based Superpixels for Background and Object Segmentation
نویسندگان
چکیده
منابع مشابه
Color Segmentation Based Depth Image Filtering
We present a novel enhancement method that addresses the problem of corrupted edge information in depth maps. Corrupted depth information manifests itself in zigzag edges instead of straight ones. We extract the depth information from an associated color stream and use this information to enhance the original depth map. Besides the visual results, a quantitative analysis is conducted to prove t...
متن کاملBackground Subtraction Based on Color and Depth Using Active Sensors
Depth information has been used in computer vision for a wide variety of tasks. Since active range sensors are currently available at low cost, high-quality depth maps can be used as relevant input for many applications. Background subtraction and video segmentation algorithms can be improved by fusing depth and color inputs, which are complementary and allow one to solve many classic color seg...
متن کاملMultiview depth coding based on combined color/depth segmentation
In this paper a new coding method for multiview depth video is presented. Considering the smooth structure and sharp edges of depth maps, a segmentation based approach is proposed. This allows further preserving the depth contours thus introducing fewer artifacts in the depth perception of the video. To reduce the cost associated with partition coding, an estimation of the depth partition is bu...
متن کاملMemory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels
Computer vision algorithms with pixel-wise labeling tasks, such as semantic segmentation and salient object detection, have gone through a significant accuracy increase with the incorporation of deep learning. Deep segmentation methods slightly modify and fine-tune pre-trained networks that have hundreds of millions of parameters. In this work, we question the need to have such memory demanding...
متن کاملOptimization of Color-based Foreground / Background Segmentation for Outdoor Scenes
Performing foreground / background segmentation in outdoor scene is very challenging. Starting from a stateof-the-art color-based approach [8], we propose three improvements: the use of the YCoCg color space, a spherical association volume, and a cast shadows management approach. Using image sequences with ground truth at pixel-level, we quantitatively measured the performances of the proposed ...
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: Procedia Engineering
سال: 2012
ISSN: 1877-7058
DOI: 10.1016/j.proeng.2012.07.315