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A novel multi-criteria optimization framework for matching of partially visible shapes in multiple images using joint geometric graph embedding is proposed. The proposed framework achieves matching of partial shapes in images that exhibit extreme variations in scale, orientation, viewpoint and illumination and also instances of occlusion; conditions which render impractical the use of global contour-based...
In the field of Digital Image Processing Content Based Image Retrieval is becoming very popular. Google and Yahoo have tools on Digital Image Processing. They are known to be Google Images and Yahoo! Images Search. They are based on textual annotation of images. In textual annotations with the help of keywords images are retrieved. This is not very much effective approach as their performances are...
In this paper we propose a method for joint estimation of depth, reflectance and illumination from a single RGB-D image for depth refinement. This is achieved by a simple optimization based approach with smoothness constraints on depth, reflectance and illumination. We introduce an adaptively weighted local similarity constraint for reflectance, a normalized spherical-harmonic model for illumination,...
Conventional shooting practice systems are expensive, life threatening, and lack proper statistical evaluation of trainee's performance. This paper presents the implementation and testing of a proposed evolutionary laser shooting practice system for early shooting practice stages. Presented system consists of a real gun replica equipped with lasers rather than live ammunition, a simple CCD camera,...
Intrinsic image decomposition factorizes an observed image into its physical causes. This is most commonly framed as a decomposition into reflectance and shading, although recent progress has made full decompositions into shape, illumination, reflectance, and shading possible. However, existing factorization approaches require depth sensing to initialize the optimization of scene intrinsics. Rather...
This paper presents a method for extracting a new feature descriptor, named Partial Dominant Orientation Descriptor (PDOD), which can be used to perform reliable matching between objects with similar as well as different textures. The object is represented by a set of key locations of stable points using Difference of Gaussian, so that the matching can proceed successfully despite changes in viewpoint,...
Our target is development of a view synthesis system that includes the entire process from capturing of multi-view videos to synthesize virtual view in real-time. Depth estimation of the target scene is indispensable for view synthesis from multi-view videos. In this paper, we improved the depth estimation method we had developed in a previous work, where an active illumination technique was combined...
Local ordinal signal relations, such as local binary or ternary patterns (LBP/LTPs) are invariant to frequent in practice spatially variant contrast/offset deviations that preserve image appearance. Our prior work extended this conventional LBP/LTP-based classifiers towards learning, rather than pre-scribing characteristic shapes, sizes, and numbers of such patterns. The learned LTPs showed more accurate...
This paper presents a novel method to synthesise a high dynamic range (HDR) spherical radiance map (RM) from a single low dynamic range (LDR) legacy photograph of an outdoor scene. The synthesised HDR RM is then used for real-time image based lighting (IBL) to render 3D virtual objects with plausible illumination matching with the background outdoor scene. Seam Carving (SC) is utilised to extend the...
Interreflection, which is one of main components of the global illumination effect, degrades the performance of structured light 3D camera. In this paper, we present a method of eliminating interreflection in 3D reconstruction using structured light 3D camera without any modification of the structured light pattern. The key idea is to rely on the patterns in final layer of HOC (Hierarchical Orthogonal...
We propose a large interactive display with virtual touch buttons and sliders on a pale-colored flat wall. Our easy-to-install system consists of a front projector and a single commodity camera. A button touch is detected based on the area of the shadow cast by the user's hand; this shadow becomes very small when the button is touched. The shadow area is segmented by a brief change of the button to...
Understanding cell movement is important in helping to prevent and cure damage and disease. Increasingly, this study is performed by obtaining video footage of cells in vitro. However, as the number of images obtained for cellular analysis increases, so does the need for automated segmentation of these images, since this is difficult and time consuming to perform manually. We propose to automate the...
This paper is aimed at proposing a new structured light pattern for mirror-based multi-view active stereo so that the patterns cast onto the object surface do not interfere even where the object is illuminated by the projector directly and indirectly via mirror. The key idea of our interference-free projection is to encode the projector pixel locations so that they do not collide with the code from...
Shape exaggeration is highly expected in many applications such as cultural heritage, cartography, educational demos, game etc. Although there have been some research on shape-exaggerated shading, most of them are too slow for real-time applications when large scale meshes are involved. We notice the bottleneck is updating of surface normal. Based on this observation, we present a real-time shape-exaggerated...
Nowadays, facial expression synthesis is widely used in expression simulation, recognition and animation. Texture feature (wrinkle) after face deformation largely reflects the genuineness of the synthesized expression, whose mapping is a critical step to the expression synthesis application. However, current lighting ratio based wrinkle mapping is sensitive to small source lighting and large lighting...
Color segmentation is a preliminary step in many application computer vision systems today, as the detection of human movement, recognition of road traffic signs and video intelligent. Detection stage performance is therefore closely linked to the results obtained from the color segmentation. Detection and recognition automatic road traffic signs are applied in the color spaces RGB, HSV, and HSI....
An analysis of asymmetrical lenses with microstructures for museum exhibition lighting is proposed. According to simulation results, using an asymmetrical light shape will increase the illumination uniformity more than 13.1% relative to the standard lambertian light shape.
In this paper, we propose a near-light illumination model for image relighting and 3D shape recovery. Classic methods such as used by the popular RTI software from Cultural Heritage Imaging assume that lighting is infinitely far away from the scene. However, this constraint is impossible to achieve in practice: light sources cannot be too far away from the scene due to space and power constraints...
In complicated high dynamic scene, current gamma correction methods sometimes suffer from a loss of local details in certain regions of different luminance. In this paper, an adaptive local gamma correction method based on mean value adjustment is proposed, which is aimed at improve local details in both dark and bright regions in image. As the preprocessing, a global enhancement method is applied...
Quality checking is a major aspect in production. Fatigue and boredom are major parameters of human involved operating which causes for efficiency and productivity. Therefore Biscuit manufacturing industries have to overcome these situations throughout finding novel ways and methods for their human involved quality inspection systems. This paper proposes a computer vision based quality checking system...
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