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The location of wires in the canopy of grapevines is critical information required when planning the path of a robotic arm used in an automated vine pruning system. The cost of colliding with or inadvertently cutting a wire is severe and thus it is important to have a robust wire detection system that is capable of accurately locating wires. This paper proposes a system for detecting pixels with a...
Image Segmentation, a basic technique for many real world applications, has been considered in this paper. The Seeded Region Growing (SRG) algorithm, as the first and probably the simplest region growing algorithm, faces three important problems: the position of seeds, the number of seeds, and region growing strategy. Two new versions of SRG are introduced here to solve the multi seeded region growing...
Correspondence Problems in the case of branched structures are a challenging and interesting sub-case of general Correspondence Problems. Many usual assumptions do not hold in this framework. Therefore, we seek to define a probability measure for the correspondence that takes into account only the geometrical properties of the structure which are known to be always true and some possible observed...
A segmentation algorithm that assists material analysis in multi-energy computed tomography is presented. Segmentation is typically used in conjunction with quantitative material analysis algorithms (known as material decomposition) to increase the total number of materials which can be discriminated and quantified. The algorithm illustrated here identifies voxels (in the image domain) with one of...
The seamless composition of synthetic objects into real-world scenes requires a high level of detail to convince viewers that the rendered object belongs in the scene. These details include illumination properties that perceptually match the real-world environment. To achieve such effects, image based lighting is often used to emulate real-world lighting. This paper explores the role of lighting,...
Calculation of mean, variance and standard deviation are often required for segmentation or feature extraction. In image processing, often an integer approximation is adequate. Conventional methods require division and square root operations, which are expensive to realize in hardware in terms of both the amount of required resources and latency. A new class of iterative algorithms is developed based...
In this paper we propose a deformation transfer technique that achieves physically-plausible deformation by transferring stretchiness ratios of local edges. Given a source reference mesh, a source deformed mesh, and a target reference mesh, the objective is to transfer deformation between the source reference and deformed onto the target reference, and produce a target deformed mesh. To generate a...
This paper introduces the OpenCV-FFI software package, which exposes datatypes and functions from the OpenCV computer vision library into the Ruby programming language. OpenCV-FFI uses the foreign function interface (FFI) to produce a Ruby API which mirrors the OpenCV C API; further layers of complexity are then built on that core API. Example code and benchmarking results show the effectiveness of...
Manifold clustering is often used to partition a multiple manifold dataset prior to the application of manifold learning. Thus manifold clustering can be seen as a preprocessing step for eliminating singularities in a dataset before doing dimension reduction. In this paper, we propose an algorithm for resolving singularities prior to dimension reduction. We achieve singularity resolution using algebraic...
Though many studies on robust face recognition have shown good performances at their experiments, they still suffer from diverse environmental variations in real world. In addition, most face recognition methods focus only on classifying subjects using well-aligned facial images, and thus their reliabilities are dependent upon the performance of pre-processors such as face detector. The purpose of...
Because of strong radial distortion, fisheye images have to be rectified before use in most computer vision algorithms. We investigate three ways to rectify fisheye images: the rectangular local perspective projection, local perspective projection bounded by longitude and latitude lines, and cylindrical projection. The traditional integral image method doesn't work for local projections, because they...
Multimedia data transmission, particularly sending images, is an important feature of modern communication systems. These activities usually occur on a very large scale and hence, reduction of the data volume and storage requirements become crucial. Reduction is achieved through compression, typically JPEG2000. Since this is a lossy compression technique, the image quality is degraded, the extent...
Automated optical inspection (AOI) is desirable in printed circuit board (PCB) manufacturing as inspecting manually is time-consuming and error-prone. This paper presents a study on evolving an AOI program with Genenetic-Programming (GP), an evolution-inspired technique. Using a GP-based approach, domain knowledge such as board design and lighting conditions are not required. Conventional feature...
Image stitching has been extensively studied over the last decade, particularly since the introduction of scale invariant feature transform and bundle adjustment techniques. This paper investigates three major challenges that need to be solved for aerial video stitching: significant motion blur in some frames, the scale factor in the stitched images and the constant change of the camera projection...
Arthritis is a common chronic diseases among elderly. Regular exercises help with managing the disease, but physiotherapy is costly and without monitoring there are no reliable workout records and many patients lack motivation. In this paper we evaluate exercise games and motivate the need for applications which are mobile, fun, provide monitoring, and incorporate social media features. Based on this...
Manifold learning (ML) is a known non-linear technique for representing high dimensional data. Despite the potential power of ML techniques, they fail in representing an unseen test data accurately. To better model the geometric structure of manifolds, Manifold Alignment (MA) techniques have been proposed recently, where the majority of these algorithms rely on point correspondences between two manifolds...
In consumer 3D applications such as video games, users frequently have the option to adjust the trade-off between graphics quality and frame rate, with a common approach being to maximise graphics quality while retaining an acceptable (but not ideal) frame rate. However, consumer head-mounted displays require ideal frame rates in order to prevent discomfort and motion sickness. In this paper we present...
To obtain a single best-suited solution, an ill-posed global optimisation problem is regularised. Conventional regularisation, that adds to the goal function a weighed smoothing term, is theoretically justified for linear and a number of non-linear ill-posed mathematical problems. But for inverse optical problems in computer vision such regularisation is mostly heuristic and thus guarantee neither...
Many sparse regularization methods for encouraging succinct hierarchical features of deep architectures have been proposed, but there is still a lack of studies that compare them. We present a comparison of several sparse regularization methods in deep learning with respect to the performance of a noisy digit classification task under varying size of training samples. We also propose a deep hybrid...
Photo-identification of dolphin individuals is a commonly used technique in ecological sciences to monitor state and health of individuals, as well as to study the social structure and distribution of a population. Uniqueness of some forms of damage sustained by the trailing edge of the dorsal fin throughout an individual's life allows it to be used to identify the individual. Traditional photo-identification...
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