Micro-expression is a kind of brief facial movements which could not be controlled by the nervous system. indicates that person hiding his true emotion consciously. recognition has various potential applications in public security and clinical medicine. Researches are focused on automatic micro-expression recognition, because it hard to recognize people themselves. This research proposed novel algorithm for combined deep multi-task convolutional network detecting landmarks fused estimating...

Micro-expression is a kind of brief facial movements which could not be controlled by nervous system. indicates that person hiding his truly emotion consciously. analysis has various potential applications in public security and clinical medicine. Researches are focused on the automatic micro-expression recognition, because it hard to recognize naked eye. This research proposes novel algorithm for combines deep multi-task convolutional network detecting landmarks fused estimating optical...

Single-frame optical flow estimation is a more challenging task than predicting the between adjacent frames in video. This paper presents two-stream network that combines motion information from correlation images with appearance intensity to estimate single-frame manner. The image generated by three-phase sensor (3PCIS) records changes incident during exposure time and conveys about moving objects. crucial assist motion-blurred estimating state of Due lack directly available datasets train...

We propose a fast magnetic resonance imaging (MRI) technique based on compressed sensing. The main idea is to use combination of full and Full sensing conducted for every several slices (F-slice) while with high compression rate applied the rest (C-slice). can perfectly reconstruct F-slice images, which are used roughly estimate C-slices. Since already good quality, its difference from original image small sparse. Therefore, be reconstructed precisely using standard even rate. Simulation...

It seems difficult to recognize an object from its background with similar color using conventional segmentation methods. An efficient way is utilize hyperspectral images that contain more wave bands and richer information than only RGB components. Particularly in our task, we aim separate a pepper densely packed green leaves for automatic picking agriculture. Given imaging can be regarded as kind of propagation process, make novel attempt introducing complex neural network tailored...

We propose a new system for magnetooptical imaging that can observe the distributions of amplitude and phase an ac leakage magnetic field on steel sheet driven externally by dipole or quadrature (rotating dipole) magnet. The system, which we call three-phase correlation image sensor (3PCIS), perform two-dimensional parallel lock-in detection intensity-modulated light generated magnetooptic film polarimetric techniques. apply to flux inspection surface near-surface defects sheets grain...

This paper proposes a 3-D measurement principle for the correlation image sensor (CIS) which generates temporal between incident light intensity and an external reference signal at each pixel. Another key of our system besides CIS is amplitude modulation scanning sheet beam, phase relative to varied according angle beam. After scan within frame, demodulated with quadrature pair signals output by compute individual beam on By virtue lock-in detection principle, effects background illumination...

We propose a novel system for real-time three-dimensional surface orientation measurement. The advantages of our method are: (1) single frame capture normal vector distribution, (2) dense, pixel-wise vectors, and (3) independence on reflectance background illumination. This consists two components; one is the sinusoidally amplitude-modulated three-phase (3P) light sources at vertices triangle another correlation image sensor (3PCIS) demodulating amplitude phase reflected from surface. Based...

Multi-axis displacement sensing technique with a single optical beam is proposed. Our system consists of propagating vortex and its imaging system. Since have feature points known as zero-points or phase singularities in profile, we can detect lateral rotational the precisely by tracking points. Unlike conventional laser techniques, our measurement scheme be applied for deformation civil infrastructures such bridges highways where triangulations not applied. The basic setup presented results...

Accurate and efficient segmentation of prostate image plays an important role in the diagnosis cancer. Since convolutional neural network demonstrates superior performance computer vision applications, we present a multi-layer deeply supervised deconvolution (DSDN) which completes end-to-end training to automatically segment magnetic resonance (MR) images. We put additional layers supervise hidden layers. During training, backpropagation process gradient information accelerates parameters...

Spatial filtering velocimetry was proposed in 1963 by Ator as a velocity-sensing technique for aerial camera-control systems. The total intensity of moving surface is observed through set parallel-slit reticles, resulting narrow-band temporal signal whose frequency directly proportional to the image velocity. However, even despite its historical importance and inherent technical advantages, mathematical formulation this only valid when infinite-length observation both space time possible,...

In this paper, we study optical flow determination using a novel imaging device, correlation image sensor (CIS). The proposed method is based on the equation between intensity and complex sinusoidally-modulated captured simultaneously by CIS. Since it does not involve time derivative, only one frame required for estimation. Moreover, velocity limitation approximate differential avoided

This paper outlines a new research project (CREST) for structure health monitoring. The purpose is to develop networked sensor static, full-axis deformation of large and long structures such as bridges, roads, railways. We propose novel technique based on the combined use an optical vortex (OV) beam correlation image sensors (CIS). Since profile OV involves definitive features known zeros or phase singularities they are invariant through propagation, we can encode transmit information...

Micromachined directional microphones (sound source localization sensor) mimicking an auditory organ of Ormia Ochracea have been intensively studied based on center-supported, marginally free 1-D or 2-D diaphragm structures. Based exact mathematical formulation, a Gaussian weight function the is shown to be inevitable in transduction 1st and 2nd moments. An analysis was performed obtain distribution assuming arbitrary thickness shell-structured diaphragm. The best result marginally-supported...

It is difficult to diagnose Bickerstaff's brainstem encephalitis (BBE) in the acute phase, and emergency physicians could BBE as an unknown cause of consciousness disturbance.A 75-year-old woman presented with dizziness weakness both arms 1 week after upper respiratory infection. She experienced gradual worsening consciousness, had dilated pupils no light reflex. was suspected dysfunction at part brainstem; however, there were not significant findings on magnetic resonance imaging,...

Detecting and identifying objects of similar color is a challenging task in computer vision. Green peppers natural environment can be found using the abundant information provided by hyperspectral camera spectral domain, but an expensive device. Therefore, we propose novel framework called Optical Filter Net, which enables design optical filter that improves performance green pepper segmentation specific red-green-blue (RGB) system. When installed with filter, system efficiently utilize...

In INSS2008, we described a new principle for monitoring full-axis (three translational and three rotational) deformation of large long structures such as bridges, roads, railways. It is based on combined use an optical Laguerre-Gaussian (LG) beam correlation image sensor (CIS). this paper, describe theoretically examine experimentally several key issues technology. They are: 1) optimum design higher-order LG beam, 2) theoretical analysis the relation between profile parameters, 3) real-time...