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This paper investigates dense scene 3D reconstruction by fusing camera images and sparse laser data. This paper proposes color based sampling to improve discontinuity between objects, distance accuracy and smoothing of the same object. For robustness to light and camera noise, we apply mean shift filtering to camera image. Distance value is sampled from sparse laser data using color similarity. Kernel...
The key for coded structured light 3D measurement technology in industrial site is to improve measurement accuracy, and sampling density and measurement speed are taken into account simultaneously. A color space-time encoding and decoding method for structured light system and its related technologies are proposed. Firstly, RGB stripes are used to encode, that have the minimal interaction, for improving...
In this paper, a new noise removal method for color images is described. In the proposed method, first, a tentative output image in which noise is almost perfectly removed is obtained using the iterative robust switching vector median-based vector ε-filter. Then, the residual components between the input and tentative output images are calculated, and image components constitute edges, corner, and...
We present an alternative approach to address correspondence in computational stereo. Accurate correspondence between two 2D images is required to determine depth, which leads to 3D model generation. To achieve this, optimized noise reduction method and accurate edge detection are required for preprocessing, followed by extracting the contours from the edge detection output and detecting the correspondence...
In automatic document image processing system, skew correction and black margin removal are important principal steps. In this paper, a new algorithm of quickly skew correction is proposed. Based on characteristics of bill images, the positions of four corners were obtained and the slant angle is calculated. Using the slant angle to rotate bill image and removal black margin, the needed bill image...
Tracking moving objects in video sequence is an important problem in computer vision, with applications in several fields, such as video surveillance and target tracking. As the shadows attached along with the moving object also have the same motion that of objects, the detection of shadows as foreground objects is very common and produce large errors in object localization and recognition. This paper...
We propose a method to edit RGBNs (images with a color and a normal channel). High resolution RGBNs are easy to obtain using photometric stereo. Free editing will result in normals which do not correspond to any realizable surface. Our normal operators guarantee the integrability of the results. Our method can filter normals with any linear kernel allowing high-pass and edge-enhancement filters. We...
This paper presents a color structured light technique for recovering object shape from images. Coding strategy is one of the most important techniques because it effects the measure precision and efficiency directly. Unlike traditional encoding methods, we design new coloured stripe patterns in order to locate both intensity peaks and edges. Then edge detection method with sub-pixel accuracy is performed...
Automatic extraction and vectorization of contour lines from color topographic maps is an important precursor to obtaining useful information for many vector based GIS applications. In this work, a novel hybridized algorithm is developed for reconstructing the extracted contour lines from color topographic map. The extraction of contour lines from a topographic map leads to broken contour lines due...
To reconstruct image down-sampled by color filter array on sensor of digital camera, demosaicking, a process of estimating missing color values is required. An improved edge adaptive color demosaicking method is presented. Edges are detected by an improved edge indicator, and missing color values are estimated in chosen direction. In estimation stage, weighted average of Taylor series is adopted....
The following topics are dealt with: image coding; medical image processing; image reconstruction; image segmentation; image retrieval; image color analysis; image resolution; image motion analysis; face recognition; image sequences; and edge detection.
In this paper, we consider the problem of recovering full-color images from color-sampled observation. Each pixel location is classified into flat, edge and pattern region and edge indicator function is used to avoid artifacts in high frequency regions and improve the performance. The horizontal and vertical direction of edge is decided using local statistics based on the concepts of spectral-spatial...
Shadows are the natural accomplice of objects. As such, they have affected various algorithms dealing with image segmentation, object tracking and recognition. A lot of research has been focused on removing shadows from images while preserving the information available in the shadow region. In this paper, we present a simple yet robust algorithm for cast shadow removal utilizing images taken at different...
In this paper, we propose a new demosaicing method that interpolates RAW images in a Bayer pattern. We firstly apply a wavelet transform to a rotated G-channel of Bayer pattern. Then, according to the high frequency energy, Sobel operator and 2D FFT (fast Fourier transform) are performed parallelly as edge-classifiers. Missing samples are interpolated along the estimated edge direction. In both subjective...
Nowadays an increasing research interest in the field of biotechnology has been drawn to achieve reliable information from model organisms. C. Elegans nematode worm is one of the major animals. Machine vision analysis of this animal needs to solve many important problems, e.g. detection of each individual in population images, movement patterns of isolated and overlapped worms and so on. In this paper,...
In this paper we present a novel image quality measure for color images. This measure is based on the correlation of information between color planes and principal component analysis conversion of a color image into grayscale. Furthermore, a scheme for boundary detection based on this principle is developed and presented. This innovative design utilizes partial derivatives of Boolean functions for...
Indoor and outdoor urban environments posses many regularities which can be efficiently exploited and used for general image parsing tasks. We present a novel approach for detecting rectilinear structures and demonstrate their use for wide baseline stereo matching, planar 3D reconstruction, and computation of geometric context. Assuming a presence of dominant orthogonal vanishing directions, we proceed...
This paper presents a new photometric stereo method aiming to efficiently estimate BRDF and reconstruct glossy surfaces. Rough specular surfaces exhibit wide specular lobes under different lightnings. They are ubiquitous and usually bring difficulties to both specular pixel removal and surface normal recovery. In our approach, we do not apply unreliable highlight separation and specularity estimation...
The super-resolution (SR) imaging is a process of constructing high resolution image using several shifted low resolution images of the same scene. The process should ideally be fast, and should add sharpness and detail, both at edges and in regions without adding artifacts. SR imaging works in two major phases: registration and interpolation. Existing registration techniques are computationally time...
Tree ring analysis provides useful data for dendrochnologists that can help them for better understanding of climatic and environmental changes. Yet detection and counting of rings in cross section of tree were realized manually which is time consuming and tedious work. Our research was motivated by the need of a fast and accurate method. This paper describes a semi automatic approach for tree rings...
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