No abstract

a) Prototype camera lens with CFA (b) Captured image (c) Depth map (d) Restored image Figure 1.Overview of the proposed method. We propose a novel single-shot depth acquisition method with a camera lens in which a color-filtered aperture (CFA) inserted. The captured image (b) taken with the prototype CFA (a). The CFA generates asymmetric defocus blurs. These asymmetric defocus blurs are confirmed as colored blurs in a region outside the focal plane in the captured image (b). The close-up image in (b) is captured in front of the focal plane and has the colored blurs, for example, the blurred edge of a white object is slightly colored with blue (left) and orange (right). By utilizing the blurs, the depth map (c) is estimated. The depth map (c) and the restored image (d) without the colored blurs are generated simultaneously because the depth estimation is equivalent to eliminating the colored blurs. AbstractWe propose a new method, Depth from Asymmetric Defocus using a Color-Filtered Aperture inserted into the camera lens aperture. The proposed method provides a highly accurate depth map from a single input image by combining a depth from defocus approach with color-filtered aperture photography. Author Keywords3D image sensing; depth from defocus; computational photography.

No abstract

This article analyzes the spectral reflection properties of skin surface with make-up foundation. Foundations with different material compositions are painted on a bioskin. First, the authors measure the spectral reflectance of the skin surfaces under a variety of conditions of light incidence and viewing. Second, the authors show the limitations of the model-based approach for describing the reflectance curves by a small number of parameters. A new approach based on the principal component analysis is then proposed for describing the detailed shape of the surface-spectral reflectance function. All skin surfaces exhibit the property of standard dichromatic reflection, so that the observed reflectances are expressed as a linear combination only two spectral components of a constant reflectance and a diffuse reflectance. Moreover, the authors find that the weighting coefficients are decomposed into two basis functions with a single parameter. As a result, the spectral reflectance under arbitrary observation conditions can be estimated by synthesis of the diffuse spectral reflectance and several one-dimensional basis functions. Finally, the feasibility of the proposed approach is examined in detail in experiments using real foundation samples.

No abstract