Traditional SURF Research Articles

Target Localization and Grasping of Parallel Robots with Multi-Vision Based on Improved RANSAC Algorithm

Some traditional robots are based on offline programming reciprocal motion, and with the continuous upgrades in vision technology, more and more tasks are being replaced with machine vision. At present, the main method of target recognition used in palletizers is the traditional SURF algorithm, but this method of grasping leads to low accuracy due to the influence of too many mis-matched points. Due to the accuracy of robot target localization with binocular-based vision being low, an improved random sampling consistency algorithm for performing complete parallel robot target localization and grasping under the guidance of multi-vision is proposed. Firstly, the improved RANSAC algorithm, based on the SURF algorithm, was created based on the SURF algorithm; next, the parallax gradient method was applied to iterate the matched point pairs several times to further optimize the data; then, the 3D reconstruction was completed using the improved algorithm via the program technique; finally, the obtained data were input into the robot arm, and the camera’s internal and external parameters were obtained using the calibration method so that the robot could accurately locate and grasp objects. The experiments show that the improved algorithm shows better recognition accuracy and grasping success with the multi-vision approach.

A Kite-surfboard Design Targets Generating Electricity by Visitors

In the context of the world energy crisis, how to achieve sustainable energy tran-sition for everyone is a heated topic. According to research, kitesurfing is now a popular ex-treme sport, compared to traditional surfing, kitesurfing has a greater potential to generate electricity due to its greater speed. This paper takes the Isles of Scilly in the UK as a case study, based on the energy dilemma caused by the many visitors in the Isles of Scilly. Through various methodologies such as design research, user interviews and business mod-els, this paper explores a way to make use of the visitors in Isles of Scilly, by combining the fun activity of kitesurfing with electricity generation, so that visitors can help with the local renewable energy transition. This paper concludes with the design of a surfboard that gen-erates electricity from the hydro-turbines of kitesurfing and envisages a future business model and new energy development approach for the community.

Aquatic Board Sport Injuries: A Literature Review.

Aquatic board sports, particularly traditional surfing, kitesurfing, skimboarding, stand-up paddleboarding, and foil surfing, are growing in popularity. Increased participation has revealed similar injury types, mechanisms, and unique patterns related to the individual board sports. Practitioners who live near aquatic environments should familiarize themselves with these injury patterns to provide high-quality care and prevention for participating individuals. This article will examine the current literature for each aquatic board sport and summarize specific injury-type data to provide better guidance to clinicians.

A novel security and authentication method for infrared medical image with discrete time chaotic systems

Objective:Hand vein images have become important biometric signs used for identification systems. Also, dorsal hand vein images have noteworthy advantages in terms of reliability and contactless procedure. Surgically changing the vascular pattern under the skin is extremely difficult. Therefore, the use of such patterns in identity recognition applications is increasing day by day. In this context, many studies have been carried out in essential areas such as image acquisition for different textures, image preprocessing, data security, image feature extraction and recognition. Methods:In this article, a new dorsal hand vein identification application has been carried out with the chaos-based security mechanism to protect personal data and the Improved SURF method to reduce the error matches of traditional SURF method in the current application. There are two improvements in the presented system. The first one finds the features representing only the vein segments, not the remaining tissue or hairly parts. The second one eliminates the mismatching points to increase the accuracy. Results:Both encryption and data hiding techniques are preferred together to protect person data. In addition, dorsal hand vein images taken with a camera for matching and recorded in the database of the people have been improved with the newly developed I-SURF feature extraction method. Thereby, with the developed application, in addition to keeping the personal identity information securely in the database with chaos-based methods, higher accuracy rate has been achieved in matching the new image taken with the camera.

A Novel Fast Image Stitching Method Based on the Combination of SURF and Cell

The traditional image stitching method has some shortcomings such as double shadow, chromatic aberration, and stitching. In view of this, this paper proposes a power function-weighted image stitching method that combines SURF optimization and improved cell acceleration. First, the method uses the cosine similarity to preliminarily judge the similarity of the feature points and then uses the two-way consistency mutual selection to filter the feature point pairs again. Simultaneously, some incorrect matching points in the reverse matching are eliminated. Finally, the method uses the MSAC algorithm to perform fine matching. Then, the power function-weighted fusion algorithm is used to calculate the weight of the center point. The power function weight of the accelerated cell is used to perform the final image fusion. The experimental results show that the matching accuracy rate of the proposed method is about 11 percentage points higher than the traditional SURF algorithm, and the time is reduced by about 1.6 s. In the image fusion stage, this paper first selects images with different brightness, angles, resolutions, and scales to verify the effectiveness of the proposed method. The results show that the proposed method effectively solves the ghosting and stitching seams. Comparing with the traditional fusion algorithm, the time consumption is reduced by at least 2 s, the mean square error is reduced by about 1.32%∼1.48%, and the information entropy is improved by about 0.98%∼1.70%. The proposed method has better performance in matching accuracy and fusion effect and has better stitching quality.

A fast RFID image matching algorithm for multi-tag identification and distribution optimization

We propose an improved image matching algorithm that combines the minimum feature value algorithm to extract feature points and the direction gradient histogram to calculate the description vector. This algorithm is oriented to RFID multi-tag identification and distribution optimization in the actual scenario, and the traditional SURF algorithm has the problems of low matching accuracy and high complexity in multi-tag matching. This algorithm effectively improves the positioning accuracy of the RFID multi-tag positioning system. The experimental results show that the matching success rate of the improved algorithm in this paper is 87.4%, which is 50% higher than the SURF algorithm. Not only the matching accuracy is greatly improved, but the running speed is also increased by 48%. The algorithm in this paper has high matching accuracy and real-time performance.It provides an effective way for RFID multi-tag real-time fast matching and precise positioning.

Image Registration Method Based on Optimized SURF Algorithm

In order to solve the time consuming problem of image registration based on the traditional SURF algorithm, the image registration method based on the optimized SURF algorithm is proposed. Firstly, the image corner points are extracted by the Shi-Tomasi algorithm, then, the SURF algorithm is used to generate the corner point descriptors and the sparse principle algorithm is used to reduce the dimension of the corner point descriptors. Finally, the bidirectional matching algorithm is used to match. Through the experimental data analysis, the image registration method based on the optimized SURF algorithm is nearly the same in image registration accuracy in comparison with the traditional SIFT algorithm, the traditional SURF algorithm and the other four optimized algorithms, but the time consuming of image registration is decreased by 79.09%, 47.74%, 66.25%, 50.79%, 21.43% and 5.13%, respectively, verifying the instantaneity and effectiveness of the algorithm.

The Effect of Environmental Conditions on the Physiological Response during a Stand-Up Paddle Surfing Session.

Stand Up Paddleboard (SUP) surfing entails riding breaking waves and maneuvering the board on the wave face in a similar manner to traditional surfing. Despite some scientific investigations on SUP, little is known about SUP surfing. The aim of this study was to investigate the physiological response during SUP surfing sessions and to determine how various environmental conditions can influence this response. Heart rate (HR) of an experienced male SUP surfer aged 43 was recorded for 14.9 h during ten surfing sessions and synced with on board video footage to enable the examination of the effect of different surfing modes and weather conditions on exercise intensity. Results indicated that the SUP surfer’s HR was above 70% of HRmax during 85% of each session, with the greatest heart rates found during falls off the board (~85% HRmax) and while paddling back to the peak (~83% HRmax). Total time surfing a wave was less than 5%, with the majority of time spent paddling back into position. Wind speed positively correlated with HR (r = 0.75, p < 0.05) and wave height negatively correlated with wave caching frequency (r = 0.73, p < 0.05). The results highlight the aerobic fitness for SUP surfing, where wave riding, paddling back to the peak, and falls appear to be associated with the greatest cardiovascular demand and demonstrate that environmental conditions can have an effect on the physiological response during SUP surfing sessions.

Drones for Provision of Flotation Support in Simulated Drowning

ObjectiveThe feasibility and potential of using drones for providing flotation devices in cases of drowning have not yet been assessed. We hypothesize that a drone carrying an inflatable life buoy is a faster way to provide flotation compared with traditional methods. The purpose of this study is to explore the feasibility and efficiency of using a drone for delivering and providing flotation support to conscious simulated drowning victims. MethodsA simulation study was performed with a simulated drowning victim 100 m from the shore. A drone (DJI Phantom 4; dji, Shenzhen, China) equipped with an inflatable life buoy of 60 N was compared with traditional surf rescue swimming for providing flotation. The primary outcome was delay (minutes:seconds). ResultsA total number of 30 rescues were performed with a median time to delivery of the floating device of 30 seconds (interquartile range [IQR] = 24-32 seconds) for the drone compared with 65 seconds (IQR = 60-77 seconds) with traditional rescue swimming (P < .001). The drone had an accuracy of 100% in dropping the inflatable life buoy < 5 m from the victim, with a median of 1 m (IQR = 1-2 m). ConclusionUsing drones to deliver inflatable life buoys is safe and may be a faster method to provide early flotation devices to conscious drowning victims compared with rescue swimming.

Guarding giants: resource commons quality and informal property rights in big-wave surfing

This study extends prior empirical research on issues associated with the common-pool resource represented by surf breaks (i.e., surfing locations) by (1) creating an alternative, perhaps more objective metric, based on a logistic transformation of pairwise comparisons of the results of big-wave surfing competitions, of surf break quality, (2) applying the alternative surf break quality metric to “big-wave” surf breaks and (3) varying the test area by examining big-wave surf breaks worldwide. The results presented here are perhaps even more compelling than those from prior research—indicating that a marginal increase in surf break quality leads to a relatively large increase—in this case more than 30% points—in the probability of observing fierce localism at surf breaks. The finding here of a larger marginal effect of surf break quality on localism in big-wave surfing than in traditional surfing supports the idea that big-wave surfing and traditional surfing represent distinct markets, characterized by different technologies and inherent dangers, such that localism at big-wave surf breaks exceeds that at traditional surf breaks in terms of ferocity, ceteris paribus. Although this study focuses specifically on the relationship between surf break quality and localism, our research highlights the importance of informal property rights protection of common-pool resources.

Bionic Vision-Based Intelligent Power Line Inspection System.

Detecting the threats of the external obstacles to the power lines can ensure the stability of the power system. Inspired by the attention mechanism and binocular vision of human visual system, an intelligent power line inspection system is presented in this paper. Human visual attention mechanism in this intelligent inspection system is used to detect and track power lines in image sequences according to the shape information of power lines, and the binocular visual model is used to calculate the 3D coordinate information of obstacles and power lines. In order to improve the real time and accuracy of the system, we propose a new matching strategy based on the traditional SURF algorithm. The experimental results show that the system is able to accurately locate the position of the obstacles around power lines automatically, and the designed power line inspection system is effective in complex backgrounds, and there are no missing detection instances under different conditions.

A fast and high accuracy registration method for multi-source images

Aiming at the problem of low registration accuracy and poor real-time performance which are caused by traditional SIFT and SURF algorithm in multi-source image registration, a fast and high accuracy registration method is proposed. It makes full use of the flexibility of NSCT for image decomposition and the accuracy of SURF for feature location, as well as the quickness of SURF for feature extraction. Firstly, two images are decomposed by NSCT and SURF features are extracted in low frequency images. Secondly, feature points are matched bilaterally by using the ratio of the closest neighbor and second closest neighbor to avoid one-to-many matching. Then RANSAC is applied to refine the matching. Finally, image registration is realized quickly and accurately. Experimental results show that the proposed method is better than traditional SIFT and SURF in registration accuracy and computation time. It has the validity.

Increase Efficiency of SURF using RGB Color Space

SURF is one of the most robust local invariant feature descriptors. SURF is implemented mainly for gray images. However, color presents important information in the object description and matching tasks as it clearly in the human vision system. Many objects can be unmatched if their color contents are ignored. To overcome this drawback this paper proposed a method CSURF (Color SURF) that combines features of Red, Green and blue layers to detect color objects. It edits matched process of SURF to be more efficient with color space. Experimental results show that CSURF is more precious than traditional SURF and CSURF invariant to RGB color space

A Feature Fast Matching Technique Using Improved Self-Organizing Map for Stereo Vision

Landmark feature match method of robot visual navigation has been studied, An unsupervised learning methods based on binocular vision has been proposed to match Landmark feature fast. Firstly, environmental Information images are obtained by binocular vision, Then SIFT feature vectors are abstracted from binocular vision images, Lastly, Self-Organizing Map is pulled in to match multidimensional feature point fast by using competitive learning methods. Experiments showed that the proposed methods on feature matching with better computation time and effect than the traditional SIFT and SURF of feature matching methods. And it can satisfied the requirement of real-time.

ASSESSMENT OF ALTERNATIVE BEACH PLACEMENT ON SURFING RESOURCES

The beach fill was constructed using an innovative feeder beach design, rather than a standard linear fill template. The feeder beach design was adopted to address the concerns of local surfing groups by initially burying fewer structures, and by potentially creating additional surfing opportunities through enhanced bar formation during the equilibration process. Nine months of monitoring results show that roughly 84% of the placed material can be accounted for within the project area and on the downdrift beaches. The immediate impact of the fill on the local surfing conditions was negative within the project area as steep slopes, violent plunging breakers, and narrow surfzones limited the use of the feeder beach area; however traditional surf spots to the north and south were unaffected by the nourishment due to the concentrated nature of its placement. More recently, as the post-nourishment slopes have begun to equilibrate, surfing conditions have improved markedly within the project area, while the up drift and down drift beaches remain relatively unaffected.