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In recent years, hand drawn sketch based 3D model retrieval method has become a popular research area due to the rapid growth of available 3D models on the Internet. However, most existing sketch based 3D model retrieval methods only consider using low-level visual features that cannot capture users'search intention. In this paper, we propose a novel sketch-based 3D model retrieval approach by using...
In recent years due to the update of relevant graphical technologies acquiring of 3D reconstructed images from 2D views is getting attention exponentially. Many researchers have therefore tried to develop robust as well as efficient methods to reconstruct 3D models from images. In this paper, we have proposed a method for reconstructing 3D view from multiple images. This approach is based on images...
Images are the only source where the user can capture the real world environment on a two dimensional space. But these days the user has to use many cropping and cloning tools to manipulate, remove and do all necessary editing to an object in digital images. Smart image is developed as revolutionary solution with simpler user interfaces for users to interact with these digital images. The system helps...
In this paper, we propose a saliency detection model for RGB-D images based on the contrasting features of color and depth within a Bayesian framework. The depth feature map is extracted based on superpixel contrast computation with spatial priors. We model the depth saliency map by approximating the density of depth-based contrast features using a Gaussian distribution. Similar to the depth saliency...
We aim to reconstruct an accurate neutral 3D face model from an RGB-D video in the presence of extreme expression changes. Since each depth frame, taken by a low-cost sensor, is noisy, point clouds from multiple frames can be registered and aggregated to build an accurate 3D model. However, direct aggregation of multiple data produces erroneous results in natural interaction (e.g., talking and showing...
In this paper, we propose a new camera model for reconstructing 3D objects under light ray distortion caused by refractive medias. The proposed method can reconstruct 3D scene, even if light rays projected into the cameras are refracted by the refractive media, such as glasses and raindrops. For this objective, we represent light ray projection of multiple cameras by using a pair of planes shared...
A 3D CAPTCHA using mental rotation, called YUNiTi CAPTCHA, has been proposed as an advanced system to enable discrimination between computers and humans. YUNiTi CAPTCHA is performed in a “cognometric” mental rotation task. We point out that YUNiTi CAPTCHA has a vulnerability to some pattern matching attacks, which choose the most similar images to a question image among a list of candidate images...
Inferring scene depth from a single monocular image is an essential component in several computer vision applications such as 3D modeling and robotics. This process is an ill-posed problem. To tackle this challenging problem, previous efforts have been focusing on exploiting only global or local depth aware properties. We propose a model that incorporates both of them to obtain significantly more...
We present a Bayesian framework for estimating 3D human pose and camera from a single RGB image. We develop a generative model where a 3D pose is rendered onto an image (via the camera), which then generates a detection probability map for each body part. We represent a human pose with a set of 3D cylinders in space, one for each body part, and we place kinematic and self-intersection priors on the...
A workflow is proposed for Cultural Heritage applications in which the fusion of 3D and 2D visual data is required. Using data acquired by cheap, standard devices, like a 3D scanner having a low quality 2D camera in it, and a high resolution DSLR camera, one can produce high quality color calibrated 3D model for documenting purpose. The proposed processing workflow combines a novel region based calibration...
Visualization of the 3D point cloud model has played a crucial part in augmented reality and virtual reality for a long time. Besides, the technique of modeling also greatly benefit the application related to understanding crowd dynamics. In this paper, we introduce a technique to restore the the background area occluded by the front objects from a single viewpoint. In our procedure, we adopt the...
Sketch-based 3D model retrieval is to retrieve 3D models given a user's hand-drawn sketch. Due to the big semantic gap between rough sketch representation and accurate 3D model coordinates, sketch-based 3D model retrieval (SBR) is one of the most challenging research topics in the field of 3D model retrieval. To bridge the semantic gap, a novel semantic tree-based SBR algorithm is proposed in this...
We introduce a novel robust hybrid 3D face tracking framework from RGBD video streams, which is capable of tracking head pose and facial actions without pre-calibration or intervention from a user. In particular, we emphasize on improving the tracking performance in instances where the tracked subject is at a large distance from the cameras, and the quality of point cloud deteriorates severely. This...
3D sketch-based 3D model retrieval is to retrieve similar 3D models using users' hand-drawn 3D sketches as input. Compared with traditional 2D sketch-based retrieval, 3D sketch-based 3D model retrieval is a brand new and challenging research topic. In this paper, we employ advanced deep learning method and propose a novel 3D sketch based 3D model retrieval system. Our system has been comprehensively...
In this paper, we propose a new and effective frontalization algorithm for frontal rendering of unconstrained face images, and experiment it for face recognition. Initially, a 3DMM is fit to the image, and an interpolating function maps each pixel inside the face region on the image to the 3D model's. Thus, we can render a frontal view without introducing artifacts in the final image thanks to the...
In order to fast register a camera into a 3D scene model under the Manhattan-World assumption, a method of matching corresponding 2D and 3D lines based on vanishing point is proposed in this paper. Firstly, this method detects line segments and estimates three orthogonal vanishing points to determine the local length of camera and the matrix from world to camera space. Afterwards, one line is drawn...
We present an unsupervised method for discovering objects from depth information. Our method can identify new common objects appearing in different depth images. We use 2D bounding box proposals to detect candidate locations of objects in each depth image, and then retrieve the corresponding 3D bounding boxes using the depth information. Invalid object proposals can be further removed by analyzing...
Concepts of 3-dimensional (3D) Geometry are challenging to grasp for school students. The skill of manipulating 3D objects and interpreting their structure and properties are difficult. Traditionally to teach topics that have three dimensions, 3D artifacts have been used. However the opportunity of the learner to interact during the construction and manipulation of 3D objects is desirable. In this...
This paper presents a novel view planning method to generate suitable viewpoints for the reconstruction of the 3D shape of buildings, based on publicly available 2D map data. The proposed method first makes use of 2D map data, along with estimated height information, to generate a rough 3D model of the target building. Randomized sampling procedures are then employed to generate a set of initial candidate...
The morphological and metric methods used by anthropologists to assess ancestry can generate results with low repeatability besides damaging the specimens while handling. These problems have led to the development of a new approach based on skulls acquisition with a 3D scanner, using the resulting models to make measurements and morphological analyzes in the CraMs application (Craniometric Measurements)...
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