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Aiming at the problem of steel grating flame cutting, the algorithm of coordinate compensation including the coordinate compensation of Z-axis and the coordinate compensation in the XY plane is proposed in this paper. Through the coordinate compensation of the Z-axis, the Z-axis can move up and down according to the height of the steel grating by controlling the servo motor of Z-axis to keep a constant...
In 3D reconstruction, the obtained surface details are mainly limited to the visual sensor due to sampling and quantization in the digitalization process. How to get a fine-grained 3D surface with low-cost is still a challenging obstacle in terms of experience, equipment and easyto-obtain. This work introduces a novel framework for enhancing surfaces reconstructed from normal map, where the assumptions...
This work introduces a novel surface registration method based on foliation. A foliation decomposes the surface into a family of closed loops, such that the decomposition has local tensor product structure. By projecting each loop to a point, the surface is collapsed into a graph. Two homeomorphic surfaces with consistent foliations can be registered by first matching their foliation graphs, then...
The document targets towards analysis current braille characters, emphasis it's insufficiencies at instructing approaches aimed at little kids with recommend apparent results. This document concentrates largely upon the practice of braille and typography collectively with the fundamental braille writing system and is essential for constructive progress in association for blind kids. The principal...
The ability to edit materials of objects in images is desirable by many content creators. However, this is an extremely challenging task as it requires to disentangle intrinsic physical properties of an image. We propose an end-to-end network architecture that replicates the forward image formation process to accomplish this task. Specifically, given a single image, the network first predicts intrinsic...
Although point cloud data (PCD) are easily measured using a RGB-Depth sensor such as Kinect and Xtion, measured PCD have undesirable noise and fluctuation of values. In this paper, a curved surface fitting method using a raster-scanning window is proposed to smooth original organized PCD with noise. The method allows PCD to be fitted to numerous small quadratic curved surfaces and to be smoothed while...
Diagnostic technology for coke-making plants under operation for many decades is a pressing concern in the domestic steel industry. This paper describes a new approach for monitoring carbon deposition on high-temperature coking chamber walls. Texture analysis based on gray-level co-occurrence matrices and other texture features was applied to thermal images. As a result, brick surface, solid carbon...
With the strength of fine pitch, high electrical conductivity and excellent reliability, copper pillar interconnect becomes a promising alternative to traditional solder bump. However, bad surface smoothness is a severe problem and significantly affects the reliability of the bump connection. In this paper, numerical simulations on the shape evolution of copper pillar bump and the effect of bump dimension...
This paper presents a novel approach for recognizing a human hand touch by processing pressure measurements generated by a robotic skin. Physical cooperation among humans is mainly based on the sense of touch and usually starts with hand contacts. If a robot can distinguish a human touch from a generic contact, the human-robot cooperation can be more natural and effective. The proposed approach consists...
This paper introduces a deep architecture for segmenting 3D objects into their labeled semantic parts. Our architecture combines image-based Fully Convolutional Networks (FCNs) and surface-based Conditional Random Fields (CRFs) to yield coherent segmentations of 3D shapes. The image-based FCNs are used for efficient view-based reasoning about 3D object parts. Through a special projection layer, FCN...
The three-dimensional reconstruction of scenes from multiple views has made impressive strides in recent years, chiefly by methods correlating isolated feature points, intensities, or curvilinear structure. In the general setting, i.e., without requiring controlled acquisition, limited number of objects, abundant patterns on objects, or object curves to follow particular models, the majority of these...
Understanding shading effects in images is critical for a variety of vision and graphics problems, including intrinsic image decomposition, shadow removal, image relighting, and inverse rendering. As is the case with other vision tasks, machine learning is a promising approach to understanding shading - but there is little ground truth shading data available for real-world images. We introduce Shading...
Recent analyses have showed that moving target smears in synthetic aperture radar (SAR) imagery are not constrained to have the shapes of simple parabolas but instead can have a wide variety of two-dimensional (2D) shapes, including self-crossing signatures. The current study investigates the properties of the central smear contour under the conditions of varying the target speed difference for targets...
Artificial cell sheet is utilized as a useful method for tissue engineering. We proposed a novel approach to fabricate the Ca-alginate gel sheet embedded liver cells to mimic the liver lobule tissue. Ca-alginate sheet with hepatic lobule shaped pattern was firstly deposited on a micro-electrode device based on the electrodeposition method. Viability of embedded cells was checked to be maintained more...
We consider the problem of sampling at unknown locations. We prove that, in this setting, if we take arbitrarily many samples of a polynomial or real bandlimited signal, it is possible to find another function in the same class, arbitrarily far away from the original, that could have generated the same samples. In other words, the error can be arbitrarily large. Motivated by this, we prove that, for...
Specular highlights provide information about the shape of an object. Its characteristics are mostly unwanted in computer vision due to violation of the Lambertian assumption, which most algorithms require. Instead of neglecting this ubiquitous phenomenon we harvest it to extract surface normals with very high accuracy. Compared to photometric stereo our method works with multiple views and a fixed...
This paper describes a system that can find and lift a specific object in a bin containing piled objects. Such a task is ubiquitous in our daily life, for example, in finding a small toy in a toy box or in finding a stationary in a drawer. To efficiently achieve this task, it is necessary to recognize the object placements with consideration of occlusions and to plan a proper hand motions for lifting...
This paper presents our novel algorithm for decoration points' segmentation with simple calculation in a two-dimensional domain. Our algorithm works for unorganized point clouds. It extracts the relationship between two adjacent sub-regions, which are derived from a single cross section of the point cloud. The cutting planes are defined by the Frenet frame of curve skeleton. In our method, angle-based...
This paper presents a novel methodology to assess the geometrical features of a component surface, from which suitable tool operation path can be derived. More specifically, a dynamic pressure sensor is proposed to be used for detection, characterization and estimation of the micro-terrain features on a three dimensional surface. Compared with the current methods of using profilometers or GOMs, the...
Locomotion for many articulated mechanical systems and animals is achieved through cyclic changes in shapes called gaits. In this paper we extend the geometric variational algorithm introduced in [1] to optimize gaits for kinematic systems with three shape variables. We then obtain optimal gaits for a variety of systems including the four-link swimmer (an extension of Purcell's swimmer). We then compare...
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