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Needles are tools widely used in minimally invasive surgery. During such procedures the localization of the needle and its tip is a challenging situation because of the needle deformations due to its interactions with tissues. To tackle this problem, instrumented needles with sensors have been currently developed to allow needle reconstruction and tip localization. In conventional surgery this difficulty...
Compared to conventional mandibular reconstruction surgery, a recent approach of virtual planning can reduce surgical time providing reliable surgical outcomes. We present our virtual surgical planning software using automatic segmentation and user-friendly techniques. Evaluation experiments compared with a commercial software prove that the proposed software can achieve successful surgical planning...
Stereo reconstruction from image pairs is a standard method for 3D acquisition of human faces. Depending on available imagery and accuracy requirements the resulting 3D reconstructions may have deficits. In this work we remedy such deficits combining the 3D stereo reconstruction with a generic Morphable Model. Prior shape information can be obtained by already developed methods, which uses landmarks...
3D reconstruction from the microscopy images of serial sections plays an important role in analyzing structure of biological specimens, such as neuronal circuits in brain tissue. This paper is focusing on the 3D reconstruction of synapses which is a branch of micro reconstruction of brain. Having analysed the structure of synapses, we first detect and locate them in serial sections with cascade AdaBoost...
This paper presents a novel method for robot to reconstruct unknown object models from discrete tactile point clouds. In model recovery process, 6D tactile data which contain point positions and corresponding normal vectors are firstly clustered. Then geometric feature descriptors are used to extract geometric feature vectors from tactile data. The object feature vectors are used in object shape classification...
Deformation and vibration of thin-wall workpieces during machining could induce residual stresses in the final products, which makes real-time monitoring of the strain field critical to optimizing machining process and minimizing workpiece stresses. However, traditional methods based on strain-gauge measurements are inapplicable because materials are removed during machining. Illustrated in the context...
This paper proposes a set of tiled image evolution approaches for the EvoLisa challenge, where an image is to be approximated using artistic elements, such as brushstrokes. Using differential evolution (DE) optimization algorithm, a lossy image representation with variable number of brushstrokes is evolved thereby. Several different methods to represent or combine a brushstroke on an image canvas...
Using numerical scattering simulation of the BART (bidirectional analytic ray tracing method), an angular sequence of high-resolution 2-D ISAR (inverse synthetic aperture radar) images of a space target is produced. The Kanade-Lucas-Tomasi (KLT) feature tracker is then adopted for extracting feature points and matching all angularly consecutive ISAR images. 3-D positions of those featured points can...
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 present a new learning based 3D face reconstruction approach based on robust cascaded regression to reconstruct the 3D face from a single 2D frontal face image. The approach represents the regression between 2D and 3D faces with a strong regressor which is comprised of a number of trained weak regressors (ferns) in additive way, with each fern calculating the regression between 2D...
We present our continued studies of winter precipitation within the MASCRAD (MASC + Radar) project, using multi-angle snowflake camera (MASC), 2D-video disdrometer, computational electromagnetic scattering methods, and state-of-the-art polarimetric radar. We also introduce some recent advancements to the observation and analysis process, and discuss new illustrative results.
Traditional Techniques for Blood Source Recognition results in a crime scene contamination. The physical strings is most popular method. The impact angle identification and reconstruction of 3D trajectory are the main objective. Whereas the trajectory path is identified as a linear path. The human factor leads to number of error and false results. This method also neglect the gravity factor. The distance...
We present a method for 3D shape reconstruction of inextensible deformable surfaces from a single image. The key of our approach is to represent the surface as a 3D triangulated mesh and formulate the reconstruction problem as a sequence of Linear Programming (LP) problems. We use a closed-form method to generate an initial structure, then refine this structure by solving the LP problem iteratively...
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...
This paper presents a new symbol-matrix-based jigsaw-puzzle algorithm for image reconstruction. The proposed algorithm first calculates the compatibility metric using the SSD (Sum of Squared Distance Scoring) between adjacent pieces. Then the algorithm constructs a matrix to express the location relationship of pieces followed by constructing a symbol matrix to record the number and rotations of pieces...
Due to inherent characteristic of having priori-information about the shape and appearance, statistical shape models (SSMs) are considered as powerful tools in 3D-MR image analysis. Such as, the SSMs of femoral bone can be used for quantification in knee surgeries, in particular, automated segmentation of femoral bony region to be applied in computer-aided surgical planning of anterior cruciate ligament...
In an effort to distinguish between a conductor and dielectric object, a novel method is proposed. The linear sampling method acts as main method in this procedure. According to the object's retrieved shape by linear sampling method, the procedure suggested is to ascertain whether the object under investigation is conductor or dielectric. The suggested procedure is tested for different shapes, various...
Shape From Focus (SFF) is a widely researched technique in the field of computer vision for scene reconstruction. The SFF technique exploits the fact that the pixel focus preserves depth information. The SFF technique is based on estimation of focus levels of pixels in a stack of images acquire from different focal distances. SFF requires telecentric lenses which preserve magnification of images,...
Techniques for automating hologram processing, information extraction and construction video based on holographic data are discussed. The method for alive/dead particles identification is suggested. Experimental results are presented.
A set of image processing approaches are proposed for processing digital holographic images of plankton. The images are segmented to produce regions of interest (ROI) of plankton, and then the shape description of plankton is normalized which is invariant under the transformations of translation, scaling, skewing and rotation. Also break points of the normalized shape contour curve are detected and...
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