Our approach is demonstrated to perform well when compared with state-of-the-art algorithms on both controlled and in-the-wild benchmark datasets including Multi-PIE, BU-3DFE, and SFEW.Head-mounted holographic displays (HMHD) are projected to be the first commercial realization of holographic video display systems. HMHDs use liquid crystal on silicon (LCoS) spatial light modulators (SLM), which are best suited to display phase-only holograms (POH). The performance/watt requirement of a monochrome, 60 fps Full HD, 2-eye, POH HMHD system is about 10 TFLOPS/W, which is orders of magnitude higher than that is achievable by commercially available mobile processors. To mitigate this compute power constraint, display-ready POHs shall be generated on a nearby server and sent to the HMHD in compressed form over a wireless link. This paper discusses design of a feasible HMHD-based augmented reality system, focusing on compression requirements and per-pixel rate-distortion trade-off for transmission of display-ready POH from the server to HMHD. Since the decoder in the HMHD needs to operate on low power, only coding methods that have low-power decoder implementation are considered. Effects of 2D phase unwrapping and flat quantization on compression performance are also reported. We next propose a versatile PCM-POH codec with progressive quantization that can adapt to SLM-dynamic-range and available bitrate, and features per-pixel rate-distortion control to achieve acceptable POH quality at target rates of 60-200 Mbit/s that can be reliably achieved by current wireless technologies. Our results demonstrate feasibility of realizing a low-power, quality-ensured, multi-user, interactive HMHD augmented reality system with commercially available components using the proposed adaptive compression of display-ready POH with light-weight decoding.This paper studies the task of 3D human pose estimation from a single RGB image, which is challenging without depth information. Recently many deep learning methods are proposed and achieve great improvements due to their strong representation learning. https://www.selleckchem.com/products/tucidinostat-chidamide.html However, most existing methods ignore the relationship between joint features. In this paper, a joint relationship aware neural network is proposed to take both global and local joint relationship into consideration. First, a whole feature block representing all human body joints is extracted by a convolutional neural network. A Dual Attention Module (DAM) is applied on the whole feature block to generate attention weights. By exploiting the attention module, the global relationship between the whole joints is encoded. Second, the weighted whole feature block is divided into some individual joint features. To capture salient joint feature, the individual joint features are refined by individual DAMs. Finally, a joint angle prediction constraint is proposed to consider local joint relationship. Quantitative and qualitative experiments on 3D human pose estimation benchmarks demonstrate the effectiveness of the proposed method.Treatment of tumors in organs obscured by the ribs is a challenge for high-intensity focused ultrasound (HIFU) array. The ribs absorb the ultrasound beam's energy causing the temperature of the ribs to rise, the beam to be distorted, and the focal heat deposition to be limited. The challenges presented by the ribs motivated the development of the limited power deposition (LPD) refocusing algorithm which is capable of limiting the power deposition over the ribs while maximizing the energy deposition at the focus, thus achieving an efficient and safe ablation. In this paper, a new Iterative sparse limited power deposition (ISLPD) approach that provides similar focal heating to previously developed methods while reducing the number of transducers excited during the HIFU treatment is discussed. It will be possible to conduct processes like imaging and motion tracking in parallel with the HIFU treatment by using the elements no longer used by the refocusing technique. The approach removes transducer elements by usd for element selection.This paper presents corrections to, "The role of viscosity in the impulse diffraction field of elastic waves induced by the acoustic radiation force," (Bercoff et al.), IEEE Trans. Ultrason., Ferroelect., Freq. Control, vol. 51, no. 11, pp. 1523-1536, Nov. 2004, and "Supersonic shear imaging A new technique for soft tissue elasticity mapping," (Bercoff, J., Tanter, M., and Fink, M.), IEEE Trans. Ultrason., Ferroelect., Freq. Control, vol. 51, no. 4, pp. 396-409. April 2004.Sparse arrays have been studied mainly to reduce large numbers of elements in 2D arrays. However, they can also provide an effective means of miniaturizing ultrasound 1D array systems for point-of-care applications. Although a variety of sparse array design strategies have been proposed, designing an optimum sparse array to simultaneously satisfy the system specification requirements and performance criteria remains a challenge. This paper presents an analytical approach for the design of an optimum pair of periodic sparse arrays, one for transmission and the other for reception. The approach is based on three newly derived theorems that describe the most important properties of the two periodic sparse arrays forming the sparse array pair and their relationship pertaining to the overall beam pattern. The proposed approach can be used to design 1D sparse array pairs with arbitrary sparseness factors while meeting given performance criteria. Computer simulation verified that the spatial resolution of a 64-element phased array can be obtained with a periodic sparse array pair consisted of transmit and receive sparse arrays of which the number of elements is reduced to 32 and 22, respectively.In this study, we present a quantitative photoacoustic method for performing absorption measurements on highly absorbing samples. Based on the thermoelastic mechanism, the relative changes in photoacoustic signal amplitude allowed the determination of absorption coefficients of materials in the 0.19 to 2500 cm-1 range, with no prior knowledge of the material's optoacoustic properties required. We have tested our new methodology by performing absorption measurements on a series of planar liquid samples as well as gelatinized spherical samples. In this approach, laser-induced ultra-sound waves were detected in transmission mode. With the model presented herein and a measurement of the relative change in amplitude of the photoacoustic signal at two different known concentrations, the absorption coefficient of the sample can be straightforwardly extracted. Three important advantages are highlighted by this analytical approach (i) firstly, no previous knowledge of the optical or acoustic properties of the sample is necessary; (ii) secondly, only a small quantity of sample is required; and finally, (iii) our methodology includes both short-and long-pulse regimes, validating its use for any laser pulse duration so long as the requirement for thermal confinement is fulfilled.