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Image contains repetitive patterns always cause the point ambiguity, which makes the local descriptors less discriminative. The descriptor which is combined scale-invariant feature transform (SIFT) with the global context (GC) is used to solve the problem widely. But this descriptor is invalid when the variation of viewpoint is large. In this paper, an affine invariant matching method for image contains...
This paper is aimed at presenting a new algorithm for multi-path interference resolutions under mirror-based full 3D capture using a single correlation-based ToF camera. Our algorithm does not require additional captures or device modifications, and resolves the interference using a single ToF sensing that is also used for the 3D reconstruction as well. Evaluations with real images prove the concept...
We present a single-shot system to recover surface geometry of objects with spatially-varying albedos, from images captured under a calibrated RGB photometric stereo setup—with three light directions multiplexed across different color channels in the observed RGB image. Since the problem is ill-posed point-wise, we assume that the albedo map can be modeled as piece-wise constant with a restricted...
Fast and robust three-dimensional reconstruction of facial geometric structure from a single image is a challenging task with numerous applications. Here, we introduce a learning-based approach for reconstructing a three-dimensional face from a single image. Recent face recovery methods rely on accurate localization of key characteristic points. In contrast, the proposed approach is based on a Convolutional-Neural-Network...
Conventional vehicle detection algorithms with rear-lamp mostly utilize color data. However, due to the specification of night-time environment with low-light, the color data often has not fully information. To resolve that problem, this paper contains vehicle detection algorithm using only gray value of rear-lamp in night-time. Unlike implement binarization with the color data and gray value, this...
Road sign recognition plays an exigent role for easy, immune and suitable driving. In this paper, a road sign detection system is developed to automatically recognize Bengali road signs. The proposed method is based on HSV transformation along with a template matching technique to detect and recognize circular, triangular, rectangular and octagonal signs and it covers all existing Bengali road signs...
LEDs now are the fastest developing light sources. Photometric parameters improvement is closely connected with structure evolution. The increase of luminous efficiency cause increase of LEDs surface luminance also. The new direction of development of light emitting diodes are COB LEDs. The paper will present the research results, indicating the luminance distribution on the surface of the COB LED...
In shape learning for a digital image, it is a common that one would encountered two major problems, which are noise and missing edges. The existing research approaches aim to reduce noise, while at the same time to recover the missing edges. However, noise reductions using contour detector or smoothening techniques could indirectly distort the salient boundary. Most of the research works only focus...
Existing 3D lighting consistency based forensic methods have some practical problems. They usually require additional images and human labor to reconstruct the 3D face model for lighting estimation, and furthermore, they cannot deal with expressional faces effectively. These drawbacks make them unusable in many practical cases. In this paper, we propose a more practical 3D lighting based forensic...
Photometric ambient occlusion estimation is to recover the local visibility of a scene from multiple illuminations at a fixed viewpoint. Its effectiveness is highly dependent on the amount of illuminations. In this paper, we study how to reliably extract photometric ambient occlusion from sparsely sampled illuminations. We specifically propose an effective relative entropy minimization framework to...
Moving object localization is a popular study in contemporary computer vision, provided the fact that many challenging problems, such as illumination changes, obstacles, object shape transformation, etc, are still to be deeply investigated and properly tackled in moving object localization for the time being. In this study, a new clustering-based strategy is introduced to realize the moving object...
In this paper three ratio-based change detection algorithms, dual ratio (DR), multi-ratio (MR) and multi-ratio fusion (MRF), are tested with full motion video data collected from an unmanned aerial vehicle (UAV) platform. The dataset suffers from several practical issues that generally hinder change detection utility and performance: including image registration error, changes in perspective and significant...
Pose and illumination are considered as two main challenges that face recognition system encounters. In this paper, we consider face recognition problem across pose and illumination variations, given small amount of training samples and single sample per gallery (a.k.a., one shot classification). We combine the strength of 3D models in generating multiviews and various illumination samples and the...
In this paper, we propose a vision-based traffic light and arrow detection algorithm for intelligent vehicles. We detect all three traffic light colours along with the arrow direction robustly for varying illuminations and traffic lights. A fine-tuned convolutional neural network is used in an offline phase to localise the traffic light region-of-interest within a given camera image. Given the constrained...
Segmentation is a key process of 2-D barcode identification. In this paper we propose two 2-D barcode image segmentation algorithms under complex background. The first algorithm is an expansion of multi-scale morphology reconstruction and it can acquire a good segmentation result. However, this algorithm is not suitable for fast real-time image processing due to large computation. To fix the shortcoming...
We introduce a new computer vision based system for robust traffic sign recognition and tracking. Such a system presents a vital support for driver assistance in an intelligent automotive. Firstly, a color based segmentation method is applied to generate traffic sign candidate regions. Secondly, the HoG features are extracted to encode the detected traffic signs and then generating the feature vector...
Coin segmentation, or separating the coin area from its background, is inevitably the first step in any robust classification method. Yet, the fact that almost every research relies exclusively on grayscale images taken in controlled environments, with uniform illumination and backgrounds, wastes a vast asset of images commonly taken by numismatists, sellers and collectors. Admittedly, very often...
Recently, many people have begun to take pictures of meals and food either at home or in restaurants. These pictures are then uploaded to social networking services (SNS) where they are shared with friends. People want to take pictures of food that looks delicious, but they often find this difficult. This is because most people lack the knowledge required to take attractive pictures. There are many...
Non-contact measurement of cardiac pulse signals has attracted high interests due to its convenience and cost effectiveness. However, extracting pulse signals on mobile handheld devices (e.g. smartphones) based on face videos captured by mobile cameras usually suffers from low measurement accuracy due to misalignment errors in face tracking and inevitable illumination changes in a mobile scenario,...
After thirty years of researching, the photometric stereo technique for 3D shape recovery still does not provide reliable results if it is not constrained into very well-controlled scenarios. In fact, dealing with realistic materials and lightings yields a non-linear bidirectional reflectance distribution function which is primarily difficult to parametrize and then arduous to solve. With the aim...
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