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In this paper we present a novel approach for depth map enhancement from an RGB-D video sequence. The basic idea is to exploit the photometric information in the color sequence. Instead of making any assumption about surface albedo or controlled object motion and lighting, we use the lighting variations introduced by casual object movement. We are effectively calculating photometric stereo from a...
While hand geometry trait has been widely used to perform biometric recognition, majority of the methods employ images acquired against a uniform background. If segmentation of the hand is implemented, existing techniques can be used in cluttered backgrounds as well. This paper presents an approach for accurate segmentation of human hands for images following the aforementioned conditions using skin...
While the ready availability of 3D scan data has influenced research throughout computer vision, less attention has focused on 4D data, that is 3D scans of moving non-rigid objects, captured over time. To be useful for vision research, such 4D scans need to be registered, or aligned, to a common topology. Consequently, extending mesh registration methods to 4D is important. Unfortunately, no ground-truth...
The tongue is a basic organ in Traditional Chinese Medicine (TCM). Tongue image diagnoses the health status of a human based on shape characteristics of the tongue. Tongue shape is a very important feature in tongue diagnosis. Different tongue shapes like circle, rectangle and triangle indicate presence of certain pathologies. In this paper, we propose a method for automated recognition of diseases...
Color point clouds from 3D scanners are a representation of real-world geometry and color. However, such scan data are imperfect, containing noise, outliers, and occlusions. Noise-free point clouds can be computed by virtually scanning 3D CAD models from a pre-built library, but their geometry may differ from real-world objects. We describe a new algorithm to automatically compute dense correspondences...
This paper introduces Cubistic Representation as a novel 3D surface shape model. Cubistic representation is a set of 3D surface fragments, each fragment contains subject's 3D surface shape and its color and redundantly covers the subject surface. By laminating these fragments using a given pose parameter, the subject's appearance can be synthesized. Using cubistic representation, we propose a real-time...
Depth map super resolution from multi-view depth or color images has long been explored. Multi-view stereo methods produce fine details at texture areas, and depth recordings would compensate when stereo doesn't work, e.g. at non-texture regions. However, resolution of depth maps from depth sensors are rather low. Our objective is to produce a high-res depth map by fusing different sensors from multiple...
In this paper, we present a new method to establish quasi-dense correspondence between a pair of stereo images without camera calibration. Our proposed method is based on the traditional snake formulation using an energy function. The energy function incorporates a new matching term. When the energy function is minimized, the control points along the curves in a stereo pair are matched. Moreover,...
This paper describes an automatic lip reading system consisting of two main modules 1) a pre-processing module able to extract lip geometry information from the video sequence and 2) a classification module to identify the visual speech based on dynamic lip movements. The recognition performance of the proposed system has been assessed in the recognition of the English digits 0 to 9 as spoken by the...
Three-dimensional (3D) reconstruction of images acquired during endoscopy presents an enormous opportunity for computer vision, however reconstructing geometry from such images is challenging due to lack of features. Shape From Shading (SFS) is an approach to obtain the shape of an object from a single image, but most current methods that are applicable to endoscopy are susceptible to errors caused...
We introduce a novel method for matching and aligning 3D surfaces that do not have any overlapping surface information. When two matching surfaces do not overlap, all that remains in common between them is a thin strip along their borders. Aligning such fragments is challenging but crucial for various applications, such as reassembly of thin-shell ceramics from their broken pieces. Past work approach...
We presented an application of SURF operator and epipolar constraint for stereo matching of binocular citrus images. First, R-B space images were achieved by linear transform of original images' color space. Second, fast Hessian-matrix detector was used to detect the interest points and the SURF descriptor was used to describe the points' features. Finally, Euclidean distance and the epipolar constraint...
Range scanning of building interiors generates very large, partially spurious and unstructured point cloud data. Accurate information extraction from such data sets is a complex task due to the presence of multiple objects, diversity of their shapes, large disparity in the feature sizes, and the spatial uncertainty due to occluded regions. A fast segmentation of such data is necessary for quick understanding...
A novel framework for image inpainting is proposed, relying on graph-based diffusion processes. Depending on the construction of the graph, both flow-based and exemplar-based inpainting methods can be implemented by the same equations, hence providing a unique framework for geometry and texture-based approaches to inpainting. Furthermore, the use of a variational framework allows to overcome the usual...
Shape diagrams are shape representations in the Euclidean plane introduced for studying 3D and 2D compact sets. A compact set is represented by a point within a shape diagram whose coordinates are morphological functionals defined from geometrical functionals and inequalities. Classically, the geometrical functionals for 2D sets are the area, the perimeter, the radii of the inscribed and circumscribed...
Road detection is a vital task for the development of autonomous vehicles. The knowledge of the free road surface ahead of the target vehicle can be used for autonomous driving, road departure warning, as well as to support advanced driver assistance systems like vehicle or pedestrian detection. Using vision to detect the road has several advantages in front of other sensors: richness of features,...
We present two problems in the article, first concerns persons identification based on the shape of the hand and the second recognizing gestures and signs executed by hands. Hand-based authentication schemes in the literature are mostly based on invariant geometrical features, typically including length and width of the fingers, aspect ratio of the palm or fingers, thickness of the hand, etc.. These...
We find dense point-to-point correspondences between two surfaces corresponding to different postures of the same articulated object in a fully automatic way. The approach requires no prior knowledge about the shapes being registered. Furthermore, the approach does not require any user-specified parameters. We register possibly incomplete triangular meshes. We model the deformations of an object as...
In this paper we present a new ??one-shot?? method to reconstruct the shape of dynamic 3D objects and scenes based on active illumination. In common with other related prior-art methods, a static grid pattern is projected onto the scene, a video sequence of the illuminated scene is captured, a shape estimate is produced independently for each video frame, and the one-shot property is realized at the...
In this paper we propose "SoTong" system for enhancing family relationship with relation oriented communication. In the relation oriented communications, we focus on the relationship by representation and promotion of relations together with awareness of other's situation for the connectedness and the coexistence. The system captures and analyzes communication channels among modern families...
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