Photo signature的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

The Kids’ Big Book of Paper Love: Write. Craft. Play. Share.

為了解決Photo signature的問題，作者Smit, Irene/ Hulst, Astrid Van Der 這樣論述：

A surprise on every page Brimming from cover to cover with projects and other paper surprises, The Kids' Book of Paper Love, from the bestselling editors of Flow magazine and books, is a bounty of a book that begs to be folded, cut up, collaged, doodled on, and shared. Loop paper strips into a pape

r chain. Snip out bookmarks. Fold a paper house. Make photo booth props--a silly mustache, a crown--to pose with friends. Bind up a DIY storybook and use it to sketch out adventures and dreams. Construct a paper flower bouquet, a paper terrarium, a fortune-teller with prompts like Lend someone a boo

k and tell them why you recommend it. Plus there are Flow's signature paper goodies, including a foldout paper banner, postcards, glitter stickers, a paper doll, a two-sided poster, and so much more. It's a pure hands-on treat. Every page is an activity Includes: Decorative cutoutsCards for friends

A DIY storybookStamp stickersPhoto booth props...and more

Photo signature進入發燒排行的影片

二維半導體材料合成及其電子特性調控之研究

為了解決Photo signature的問題，作者何世明 這樣論述：

近幾年矽基電子元件 (Si-based electronics) 隨著元件尺寸微縮 (scaling down) ，除了改良電晶體結構之外，尋找高效能次世代電子元件材料也是積極開發的目標；而二維材料因厚度只有幾個的原子層以及多樣且優異的材料特性吸引各大領域爭相研究。其中石墨烯 (graphene) 雖然具有優異的電子特性但是本質上為無能隙 (gapless) 材料以及高品質石墨烯合成技術產能仍需改善。為了解決前述問題，在此將多孔隙 (porosity) 材料與銅箔堆疊繞捲於一吋傳統水平爐管，能有效提升爐管空間使用率。並且藉由孔隙材料幫助氣體擴散至整個結構中，使產率 (yield) 達到234

8 cm2/h為一般水平堆疊的四倍；而當加熱爐管系統延伸至八吋大小，產率能達到至少18 m2/h。為了研究異質原子參雜石墨烯的電性調控，利用高能量離子佈植技術 (keV ion implantation) ，將磷離子 (phosphorous-ion) 注入於金薄膜披覆的大面積石墨烯上，藉由此保護層減少注入離子的能量以及降低石墨烯的損傷程度，更能使用此保護層將摻雜石墨烯直接轉印到目標基板上；並且藉由後退火 (post-annealing) 修復晶格結構得到乾淨且低缺陷以及2 – 4個原子百分比的磷摻雜石墨烯。其載子遷移率 (mobility) 仍然可以維持450 cm2/V·s以及4.85 –

4.15 eV的功函數 (work function) 調控；並且在大氣環境下其摻雜效果以及電子特性可以維持至少數個月。此外，由於大多二維材料因能隙小於2 eV因此較難於高電壓元件；而新興的二維材料 – 銻烯 (antimonene) ，因具有2.28 eV寬能隙、優異的電子傳輸特性以及長時間的大氣穩定性，也被譽為下世代元件材料之一。然而，目前所發表的文獻大多以模擬分析為主；合成方法則以分子束磊晶 (molecular beam epitaxy) 以及液相剝離 (liquid-phase exfoliation) 較為廣泛使用，因此所能觀察到的單層銻烯面積過小 (< 1 µm) 較難用以後續

探討材料特性。因此，此研究將藉由調控氣相傳輸沉積法 (vapor transport deposition) 的環境參數並研究各條件對銻烯生長的影響以及機制的探討。從合成的銻烯厚度和面積呈現面積變大也增厚的正相關 (positive correlation) 變化，可以推測銻烯的成長模式偏好為Volmer-Weber的島狀成長；而提升氫氣比例時能有效降地Sb2O3蒸氣比例並增加銻烯的成長密度，但是過多的氫氣也會抑制銻烯的成長。後續使用雙層石墨烯封裝銻烯，藉由封裝退火 (encapsulated annealing) 發現銻烯在400 – 600℃範圍內具有高熱穩定性 (thermal stab

ility) 。本研究中提出的高產率繞捲合成方式以及穩定的離子佈植摻雜方法，可延伸至其他二維材料進行高產率合成以及可控性摻雜，並相容現有的半導體製程；以及二維半導體材料的合成機制探討，有利於未來新穎奈米電子材料以及元件製程開發。

The Photoshop Toolbox: Essential Techniques for Mastering Layer Masks, Brushes, and Blend Modes

為了解決Photo signature的問題，作者Dewis, Glyn 這樣論述：

Adobe Photoshop is one of the most powerful image-editing applications ever created, but it is also widely thought to be difficult to learn, infinite in scope, and nearly impossible to master. For these reasons, many photographers choose to stay exclusively with Lightroom for all their photograph

y needs. But for those photographers who subscribe to the Adobe Creative Cloud Photography plan--which includes both Lightroom and Photoshop--to leave Photoshop unopened and unexplored is to deny yourself the ability to take your creativity and expression to a whole new level. In The Photoshop Toolb

ox, photographer and bestselling author Glyn Dewis breaks down Photoshop into just three main features: layer masks, brushes, and blend modes. Glyn has taught thousands online, in person, and through his bestselling books The Photoshop Workbook and Photograph Like a Thief. Over and over, he has reco

gnized that once a user truly understands these three tools, there is nothing holding them back from achieving whatever they want to accomplish in Photoshop. With Glyn explaining not only the "what" but also the "why" behind layer masks, brushes, and blend modes, you're empowered to think beyond eac

h specific example and to ask that all-powerful question, "What would happen if I used that technique on this other image?"Written expressly for photographers with little knowledge of Photoshop, in The Photoshop Toolbox you'll learn: -Photoshop basics: Explore Photoshop's Workspace, Tool Bar, Optio

ns Bar, Properties, and Layers-Layer masks: Learn the basics of layer masks, as well as specific techniques that incorporate cutouts, removing halos, Content Aware Fill, Look Up Tables (LUTs), and more-Brushes: Brushes are useful for everything from cutouts to creating special effects like snow, d

ebris, grass, and even your own signature -Blend modes: Use blend modes for tricky selections, brightening and darkening an image, and tidying up a layer mask-Additional tips, tricks, and techniques: Glyn devotes an entire chapter to "extra" techniques such as removing reddening skin, creating smo

ke, matching color, and building depth in your image with contrast, light, and sharpnessFinally, in the last chapter of the book, Glyn brings it all together with a start-to-finish project concentrating on photo retouching skills.

應用YOLO及指靜脈實現駕駛者辨識系統

為了解決Photo signature的問題，作者孫興岳 這樣論述：

在眾多人員辨識方法中，利用生物特徵做辨識是一種最安全與方便的識別方法之一。在本研究中，嘗試利用人類血液中低氧血紅蛋白經紅外線照射後可呈現人體手指靜脈圖像的特性以建立駕駛人員的識別系統。在過程中，首先設計一組手指靜脈圖像採集系統，並在獲得手指靜脈圖像之後，對圖像進行對比度限制自適應直方圖均衡化（CLAHE）和Gabor濾波影像處理以獲得更清晰的圖像，並利用YOLO物件檢測技術做駕駛者識別。在研究中，辨識系統結構可以分為兩部分，第一部分是指靜脈圖像訓練的部分，主要是處理圖像、建立數據庫和生成權重文件供測試之用。第二部分是測試系統，當測試人員的手指放在指定的拍照區域時，照相機將拍攝指靜脈照片，並將

照片與權重文件一起在處理器樹莓派上進行資料處理和運行，以識別驅動程序。由實驗結果顯示本系統可以有效的做人員之辨識。在實驗研究中，並嘗試各種不同之演算法，並比較數據量、辨識時間、辨識率等相關議題。其中使用yolov4-tiny-hy時的識別率能夠有相當不錯之效果，且有效的減短訓練及辨識時間。