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Dog skull shape challenges assumptions of performance specialization from selective breeding.
Sci Adv
January 2025
Schmid College of Science and Technology, Chapman University, Orange, CA 92866, USA.
Through selective breeding, humans have driven exceptional morphological diversity in domestic dogs, creating more than 200 recognized breeds developed for specialized functional tasks such as herding, protection, and hunting. Here, we use three-dimensional reconstructions of dog skulls to ask whether these function-oriented kennel-club groups reflect differences in morphology that correspond to those functions. We analyzed 117 canid skulls, representing 40 domestic dog breeds and 18 wild subspecies, using geometric morphometric techniques and -means clustering.
View Article and Find Full Text PDFIn the field of industrial measurement, capturing a three-dimensional (3D) profile of an annular inner-wall has been a significant challenge. Current methods typically require multiple scans using a 3D scanner or circular structured light technique, which are inefficient and inconvenient to use. To address this issue, an off-axis measurement method and corresponding system has been proposed in this paper based on circular fringe projection.
View Article and Find Full Text PDFMetasurface holograms offer advantages, such as a wide viewing angle, compact size, and high resolution. However, projecting a full-color movie using a single hologram without polarization dependence has remained challenging. Here, we report a full-color dielectric metasurface holographic movie with a resolution of 512 × 512.
View Article and Find Full Text PDFDeep learning has become an attractive tool for addressing the limitations of traditional digital image correlation (DIC). However, extending learning-based DIC methods to three-dimensional (3D-DIC) measurements is challenging due to the limited displacement estimation range, which cannot handle the large displacements caused by stereo-matching disparities. Besides, most of the existing learning-based DIC architectures lack prior information to guide displacement estimation, resulting in insufficient accuracy.
View Article and Find Full Text PDFHolographic displays have the potential to reconstruct natural light field information, making them highly promising for applications in augmented reality (AR), head-up displays (HUD), and new types of transparent three-dimensional (3D) displays. However, current spatial light modulators (SLMs) are constrained by pixel size and resolution, limiting display size. Additionally, existing holographic displays have narrow viewing angles due to device diffraction limits, algorithms, and optical configurations.
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