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In recently, detection of the object is foremost but it depends on an object and environment. An object can be detected either by its shape or color. Color is an essential for pattern recognition and computer vision, it is an attractive feature because of its simplicity and its robustness to scale changes and object positions. Generally, the color of an object depends on its characteristics of the...
In this paper, we propose a semi-global matching method based on image segmentation. We perform a k-means clustering algorithm in only left image as image segmentation. Then, to improve result of image segmentation, we integrate adjacent and small labels along edges of objects. After that, we extract feature points to estimate the disparity range in each label, and add weights to the disparity range...
Traditional theories and methods in 3D reconstruction were all proposed with implicit assumption of air environment. However, underwater environment is different in many aspects. The absorption and scattering effects caused by the suspended particles in the water attenuate the image signal, which disqualifies the traditional reconstruction algorithms. In this paper, we propose a novel method to reconstruct...
Palmprint can be extracted from a hand using a low-cost webcam in a contactless manner. Using a webcam makes the enrollment process fast and convenient for users. Being contactless solve the hygiene issue and avoid copying the latent prints from sensor's surface. However, a number of challenges arise in such environment; geometric transformations, the existence of finger rings, hand accessories, and...
In this paper, a detection method of in-focused regions in the light field stack images is proposed. Its main motivation is that the focus measure with region-based image algorithms can be more meaningful than the focus measure with pixel-based algorithms which just consider individual pixels or associated local neighborhoods of pixels in the focus measure process. After we employ the normalized cut...
In this paper, we present a method of estimating the vanishing point from the railway environment images. Vanishing point plays a very important role in the machine vision based railway-environment surveillance methods, e.g. estimating the pose of the camera, video segmentation and panorama. In the application of railway-environment surveillance, we most care about the vanishing point corresponding...
This paper presents a method for image perspective correction using camera intrinsic parameters. This method is based on two assumptions: a) the taken picture have a rectangle area, but didn't know the rectangle area's aspect ratio; b) the camera's intrinsic parameters should obtain by picture (Intrinsic parameters can easily obtain in iPhone or Android phone). The rectangle's perspective distortion...
In this paper, we propose a new template selection based superpixel earth mover's distance (TS-SP-EMD) algorithm for hand gesture recognition. In the original SP-EMD, template matching is utilized as the classification method. Therefore, the quality and quantity of templates are closely related to the recognition accuracy and computational speed. To address this issue, we propose a Ä-medoids based...
Smartphones are enabling new ways of capture, hence arises the need for seamless and reliable acquisition of documents. We present an approach for identifying candidate document in a given image using Geodesic Object Proposals. The input images were downsampled to help to extract structures/features of interest and attenuate noise and increase runtime speed and accuracy. The results showed that it...
Hand gesture is one of the method used in sign language for non-verbal communication. It is most commonly used by deaf & dumb people who have hearing or speech problems to communicate among themselves or with normal people. Various sign language systems has been developed by many makers around the world but they are neither flexible nor cost-effective for the end users. Hence in this paper introduced...
In this paper, we propose an improved fuzzy enhancement algorithm for the moving object detection and tracking. A new membership function is proposed based on the theory of fuzzy sets, which improves the traditional Pal-King fuzzy enhancement algorithm and overcomes the loss of gray information after the processing of enhancement. Since a gray image with multiple targets need more than one crossover...
Kangaroo vehicle collisions are a serious problem threatening the safety of the drivers on Australian roads. It is estimated, according to a recent report by Australian Associated Motor Insurers, that there are around 20,000 kangaroo vehicle collisions during year 2015 in Australia. As a result, more than AU \$75 million in insurance claims, and a number of animal and human severe injuries and fatalities...
Content authoring is one of essentials of Augmented Reality (AR), which is to emplace an augmented content on a true part of a real scene in order to enhance users' visual experience. For the case of street view single 2D images, the challenge emerges because of clutter environments and unknown position and orientation related to camera pose. Although existing methods based on 2D feature point matching...
Given the trend of more complex tasks that robots should perform, we need to design increasingly robust solutions to perform tasks more efficiently and above all, real-time calculations. One of the most important tasks of a mobile robot is navigating through a room avoiding obstacles with which it may collide. Our contribution is to show how to compute efficiently time-to-contact for avoiding collisions...
In this paper, we proposed an image segmentation circuit design for imitated light field image. The proposed circuit adopts cell-based IC design to perform real time image segmentation operation for imitated light field image. The presented chip achieves 95.2 frames per second under 100 MHz and provides high quality images.
We propose an approach for emptying of bin using a combination of Image and Range sensor. Offering a complete solution: calibration, segmentation and pose estimation, along with approachability analysis for the estimated pose. The work is novel in the sense that the objects to be picked are featureless and uniformly black in colour, hence existing approaches are not directly applicable. A key point...
Robots typically possess sensors of different modalities, such as colour cameras, inertial measurement units, and 3D laser scanners. Often, solving a particular problem becomes easier when more than one modality is used. However, while there are undeniable benefits to combine sensors of different modalities the process tends to be complicated. Segmenting scenes observed by the robot into a discrete...
We present a long-range visual signal detection system that is suitable for an unmanned aerial vehicle to find an optical signal released at a desired landing site for the purposes of cargo delivery or rescue situations where radio signals or other communication systems are not available or the wind conditions at the landing site need to be signaled. The challenge here is to have a signal and detection...
We address the problem of extracting human body posture labels, upper body orientation and the spatial location of individual body parts from near-infrared (NIR) images depicting patterns of retro-reflective markers. The analyzed patterns originate from the observation of humans equipped with protective high-visibility garments that represent common safety equipment in the industrial sector. Exploiting...
Deep convolutional neural networks are being increasingly deployed for image classification tasks as they can learn sensor and environmental independence from large quantities of training data. Most, however, have focused on classifying uploaded photographs rather than the often occluded, arbitrary height and camera angles images found commonly in robotic applications. In this work, we look at the...
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