CHANEL No 5 PARIS PARFUM 3D PICTURE ON GLASS BLUE 12" X 15"

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Perfume WINGS by Giorgio Beverly Hills 3 oz Eau De Toilette Spray for Women Launched by the design house of Giorgio Beverly Hills in 1992, WINGS is classified as a luxurious, flowery fragrance. This feminine scent possesses a blend of exotic florals combine into a rare fragrance, dryies down to amber, musk and woods.

Wings by Giorgio Beverly Hills 3 oz Eau de Toilette Spray for Women

Cristalle Eau de Parfum (2023) Chanel perfume - a new fragrance

N°18 Eau de Parfum Chanel perfume - a fragrance for women 2016

Collectible Vintage Chanel No 5 Fragrance Bottle. About 1/3

For Sale - Vintage Perfume Bottles Perfumes, Scents from Cribtoy's Closet on Ruby Lane - Today's treasure from the vanity section of the closet I offer this Chanel #5 perfume bottle with box. The perfume is gone, but the bottle and box are in excellent condition (there is a spot on the box that looks like the sticker

Vintage CHANEL No 5 PERFUME 1/3 Oz. & 2 1/4” Tall Bottle and

L'interdit - Eau de parfum floral, woody

Discover Irresistible Eau de Parfum for women by Givenchy. Floral, woody and fruity notes characterise L

Irresistible - Eau de parfum fruity, woody, floral

Estimating depth from images is a common technique in 3D perception. However, dealing with non-Lambertian materials, e.g., transparent or specular, is still nowadays an open challenge. However, to overcome this challenge with deep stereo matching networks or monocular depth estimation, data sets with non-Lambertian objects are mandatory. Currently, only few real-world data sets are available. This is due to the high effort and time-consuming process of generating these data sets with ground truth. Currently, transparent objects must be prepared, e.g., painted or powdered, or an opaque twin of the non-Lambertian object is needed. This makes data acquisition very time consuming and elaborate. We present a new measurement principle for how to generate a real data set of transparent and specular surfaces without object preparation techniques, which greatly reduces the effort and time required for data collection. For this purpose, we use a thermal 3D sensor as a reference system, which allows the 3D detection of transparent and reflective surfaces without object preparation. In addition, we publish the first-ever real stereo data set, called TranSpec3D, where ground truth disparities without object preparation were generated using this measurement principle. The data set contains 110 objects and consists of 148 scenes, each taken in different lighting environments, which increases the size of the data set and creates different reflections on the surface. We also show the advantages and disadvantages of our measurement principle and data set compared to the Booster data set (generated with object preparation), as well as the current limitations of our novel method.

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Men's Aftershave, Perfume & Fragrance

•New in original packaging• Width: 11.25” Height: 14.25” Depth: 1.25” Thanks for looking!

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