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Gender Recognition on RGB-D Image
2020 IEEE International Conference on Image Processing (ICIP), 2020In this paper, we propose a deep-learning approach for human gender classification on RGB-D images. Unlike most of the existing methods, which use hand-crafted features from the human face, we exploit local information from the head and global information from the whole body to classify people’s gender.
Xiaoxiong Zhang 0001 +4 more
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SketchyDepth: from Scene Sketches to RGB-D Images
2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021Sketch-based content generation is a creative and fun activity suited to casual and professional users that has many different applications. Today it is possible to generate the geometry and appearance of a single object by sketching it. Yet, only the appearance can be synthesized from a sketch of a whole scene.
Berardi G., Salti S., Di Stefano L.
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Kinematic Structures Estimation on the RGB-D Images
2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020In this paper, we propose a system which detects and estimates the kinematic structures of objects in the indoor environment. We are interested in specific types of objects like doors, sliding doors, and drawers which are common in the human environment and very important taking into account the full autonomy of mobile robots. We assume that the mobile
Rafal Staszak +4 more
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Incremental registration of RGB-D images
2012 IEEE International Conference on Robotics and Automation, 2012An RGB-D camera is a sensor which outputs range and color information about objects. Recent technological advances in this area have introduced affordable RGB-D devices in the robotics community. In this paper, we present a real-time technique for 6-DoF camera pose estimation through the incremental registration of RGB-D images.
Ivan Dryanovski +2 more
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Supervoxels for human and clothes in RGB-D image
2014 4th International Conference on Wireless Communications, Vehicular Technology, Information Theory and Aerospace & Electronic Systems (VITAE), 2014In order to reconstruct human body and remodel clothes in virtual try on and size-fitting scenario, we preprocess the input point cloud into supervoxels through over-segmentation. Over-segmentation of an image into superpixels is a widely used preprocessing approach in image segmentation.
Feng Qi +4 more
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Reflection Removal Using RGB-D Images
2018 25th IEEE International Conference on Image Processing (ICIP), 2018This paper proposes a novel reflection removal method for RGB-D images that achieve reflection removal and depth map recovery simultaneously. In general, there is a strong structure correlation between an RGB image and a depth map in gradient domain.
Toshihiro Shibata +2 more
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Unsupervised Segmentation of RGB-D Images
2015While unsupervised segmentation of RGB images has never led to results comparable to supervised segmentation methods, a surprising message of this paper is that unsupervised image segmentation of RGB-D images yields comparable results to supervised segmentation.
Zhuo Deng, Longin Jan Latecki
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An Implementation of ResNet on the Classification of RGB-D Images
2020Facial recognition is to identify human faces from an image. It is becoming more and more important these days as it can be applied in multiple industries, such as bank, airport, e-business, etc. Because of the broad application prospects, face recognition is actively developed and researched by many people, companies and academic organizations.
Tongyan Gong, Huiqian Niu
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Image retargeting using RGB-D camera
Multimedia Tools and Applications, 2014Forimage retargeting, most approaches only use color information to tackle this problem. In this paper, we analyze both color and depth information captured by a RGB-D camera to maintain the structure and preserve important regions. Particularly, we present a content-aware image retargeting algorithm based on depth information.
Wei-Yang Lin +3 more
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2018
Saliency cuts aims to segment salient objects from a given saliency map. The existing saliency cuts methods focus on dealing with RGB images and videos, but ignore the exploration of depth cue, which limit their performance on RGB-D images. In this paper, we propose a novel saliency cuts method on RGB-D images, which utilizes both color and depth cues ...
Yuantian Wang +3 more
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Saliency cuts aims to segment salient objects from a given saliency map. The existing saliency cuts methods focus on dealing with RGB images and videos, but ignore the exploration of depth cue, which limit their performance on RGB-D images. In this paper, we propose a novel saliency cuts method on RGB-D images, which utilizes both color and depth cues ...
Yuantian Wang +3 more
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