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Computing optical flow between any pair of Internet face photos is challenging for most current state of the art flow estimation methods due to differences in illumination, pose, and geometry. We show that flow estimation can be dramatically improved by leveraging a large photo collection of the same (or similar) object. In particular, consider the case of photos of a celebrity from Google Image Search...
We propose a novel technique called bispectral photometric stereo that makes effective use of fluorescence for shape reconstruction. Fluorescence is a common phenomenon occurring in many objects from natural gems and corals, to fluorescent dyes used in clothing. One of the important characteristics of fluorescence is its wavelength-shifting behavior: fluorescent materials absorb light at a certain...
We present a computational method to create a new illusionary solid sign inspired by two kinds of illusions, ghollow mask illusionh and gcrater illusionh. The three dimensional vertices of the illusionary solid sign are obtained by the straight line Voronoi diagram for a given base shape. We also provide a specific example of our new illusionary solid sign, so-called hollow arrow sign. Just like the...
In this paper, we present a method for accurately estimating the shape of an object by integrating the surface orientation measured by photometric stereo and the position measured by some range-measuring method. We first show that even if the knowledge of the reflectance/illumination is inaccurate, the first derivatives of the photometrically measured orientation can be accurately estimated at the...
We identify and study two types of “accidental” images that can be formed in scenes. The first is an accidental pinhole camera image. These images are often mistaken for shadows, but can reveal structures outside a room, or the unseen shape of the light aperture into the room. The second class of accidental images are “inverse” pinhole camera images, formed by subtracting an image with a small occluder...
We propose a new stereo technique using a pair of flash and no-flash stereo images that is both efficient and robust in handling occlusion boundaries. Our work is motivated by the observation that the brightness variations introduced by the flash can provide a robust cue for establishing stereo matches at occlusion boundaries. This photometric cue is computed per pixel, and though on its own is not...
We address the problem of recovering shape, albedo, and illumination from a single grayscale image of an object, using shading as our primary cue. Because this problem is fundamentally underconstrained, we construct statistical models of albedo and shape, and define an optimization problem that searches for the most likely explanation of a single image. We present two priors on albedo which encourage...
We consider the problem of shape recovery for real world scenes, where a variety of global illumination (interreflections, subsurface scattering, etc.) and illumination defocus effects are present. These effects introduce systematic and often significant errors in the recovered shape. We introduce a structured light technique called Micro Phase Shifting, which overcomes these problems. The key idea...
State-of-the-art object detectors typically use shape information as a low level feature representation to capture the local structure of an object. This paper shows that early fusion of shape and color, as is popular in image classification, leads to a significant drop in performance for object detection. Moreover, such approaches also yields suboptimal results for object categories with varying...
Luminaires new catalogues highlight permanent changes in their technology and equipment, determining deep implications on the distribution of the emitted luminous flux. Using the index of correlation between the indoor luminaires photometric curves (Philips) and those defined through the functions from the BZ classification, indicates that some of the first category are not included among those from...
In this paper, we discuss an object recognition and tracking system that utilizes the depth information from a low-cost depth sensor. Conventional object recognition methods that utilize RGB cameras are unable to accurately identify objects in the real world since they do not take into consideration the shape and three-dimensional characteristics of the object. Another major factor determining the...
Automatic road-signs recognition is becoming a part of Driver Assisting Systems which role is to increase safety and driving comfort. This paper presents an efficient approach for detecting and recognizing road sign in traffic scene images acquired from a moving vehicle. The developed road sign recognition system is divided into two stages: detection stage to localize signs from a whole image, and...
In this paper, we analyze the effect of texture regularity on the performance of image resizing (or called image retargeting), and then propose an efficient texture-aware resizing algorithm. Being perceived as unimportant due to spatial homogeneity, textured patterns are largely deformed (or warped) in existing image resizing algorithms. However, arbitrary warping without considering the specific...
A novel learning based framework for efficient heterogeneous faces synthesis is proposed. Based on the same spectral distribution of each modality, a statistical probability model is developed for the mapping learning problem between two groups of facial appearances, instead of the traditional linear regression model. Furthermore, in order to eliminate the influences of facial structure and spectrum...
In this paper, we present a method to face recognition which considers local shape information, weight of interesting region and texture information by Gabor filter, high-pass filter and local binary patterns, respectively. The face area can be largely divided into two dominant parts that one has high frequency domain and the other has low frequency domain. High frequency parts are interesting region...
In this paper, we propose an alternative blocking-matching approach to the correspondence problem in stereo matching. In blocking-matching algorithms, a local window is used to measure the similarity (or dissimilarity) between pixels of a stereo pair. Although some area-based stereo matching methods have been developed and work well in many kinds of regions such as textureless or object boundary regions,...
It has been shown that multilinear subspace analysis is a powerful tool to overcome difficulties posed by viewpoint, illumination and expression variations in Active Appearance Model(AAM). However, the Higher Order Singular Value Decomposition (HOSVD) in multilinear analysis requires training samples to build the training tensor, which include face images under all different variations. It is hard...
We present a region matching algorithm which establishes correspondences between regions from two segmented images. An abstract graph-based representation conceals the image in a hierarchical graph, exploiting the scene properties at two levels. First, the similarity and spatial consistency of the image semantic objects is encoded in a graph of commute times. Second, the cluttered regions of the semantic...
Shape context has been proven to be an effective method for both local feature matching and global context description. In this paper, we propose a method to build a glocal shape context descriptor in cluttered images. By using the proposed keypoint centered multiple scale edge detection (KMSED) method, glocal shape context encodes fine-scale edges in the keypoint center region while coarse-scale...
Capturing appearance of material with respect to illumination and viewing directions is crucial to achieve realistic visual experience in virtual environments. The capturing process is time demanding or requires a specific shape of the captured material. Therefore, we propose a method of such a data reconstruction from very sparse measurements, whose placement allows for continuous and fast acquisition,...
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