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We introduce a new approach to reconstructing accurate camera geometry and 3D models for urban structures in a holistic fashion, i.e., without relying on extraction or matching of traditional local features such as points and edges. Instead, we use semi-global or global features based on transform invariant low-rank textures, which are ubiquitous in urban scenes. Modern high-dimensional optimization...
The complexity of natural scenes and the amount of information acquired by terrestrial laser scanners turn the registration among scans into a complex problem. This problem becomes even more challenging when two individual scans captured at significantly changed viewpoints (wide baseline). Since laser-scanning instruments nowadays are often equipped with an additional image sensor, it stands to reason...
This paper reports a tunable three-dimensional (3D) liquid-liquid waveguide laser constructed by two flow streams in a microchannel. It comprises a 3D dye dissolved liquid-liquid waveguide as gain medium and gold (Au) mirrors to provide feedback. The 3D liquid-liquid waveguide is highly efficient to overcome the optical loss as compared with liquid-liquid three-dimensional (2D) waveguide. The lasing...
As scaling becomes increasingly difficult, 3D integration has emerged as a viable alternative to achieve the requisite bandwidth and power efficiency challenges. However mechanical stress induced by the through silicon vias (TSV) is one of the key constraints in the 3D flow that must be controlled in order to preserve the integrity of front end devices. For the first time an extended and comprehensive...
In this paper, we describe the fundamental study of a parallel signal processing circuit, which includes a pixel circuit and a parallel analog-to-digital converter (ADC) with hierarchical correlated double sampling (CDS). To realize high speed image capturing sensor, we have proposed a block-parallel signal processing with three-dimensional (3D) structure. Using 3D structure, the different function...
At first, the paper introduces the most prevailing 3D model benchmark, the Princeton shape benchmark. Deficiencies emerged in the benchmark are then discussed in depth, which are concluded as: 1) models belonging to the same category are not exactly similar according to their shapes, and 2) category similarity is totally ignored. To overcome those shortcomings, the paper proposes a new model classification...
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