書目名稱Group-Theoretical Methods in Image Understanding影響因子(影響力)學(xué)科排名
書目名稱Group-Theoretical Methods in Image Understanding網(wǎng)絡(luò)公開度
書目名稱Group-Theoretical Methods in Image Understanding網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Group-Theoretical Methods in Image Understanding被引頻次
書目名稱Group-Theoretical Methods in Image Understanding被引頻次學(xué)科排名
書目名稱Group-Theoretical Methods in Image Understanding年度引用
書目名稱Group-Theoretical Methods in Image Understanding年度引用學(xué)科排名
書目名稱Group-Theoretical Methods in Image Understanding讀者反饋
書目名稱Group-Theoretical Methods in Image Understanding讀者反饋學(xué)科排名
作者: NATTY 時(shí)間: 2025-3-21 23:56 作者: Dawdle 時(shí)間: 2025-3-22 02:12
Algebraic Invariance of Image Characteristicsra rotation. Such expressions are called .. We will also show that if two images depict one and the same scene viewed from two different camera angles, the camera rotation that transforms one image into the other can be reconstructed from a small number of image characteristics.作者: 金盤是高原 時(shí)間: 2025-3-22 06:14 作者: 門窗的側(cè)柱 時(shí)間: 2025-3-22 09:46
https://doi.org/10.1007/978-3-642-49822-0ine which we call “Weyl’s thesis”, we show that the geometrical meanings of involved quantities become clear if the 3D recovery equations are written in terms of invariants. We also see that analytical solutions often emerge themselves. To illustrate this, we apply our method to optical flow analysis and the shape-from-texture problem.作者: 總 時(shí)間: 2025-3-22 13:21 作者: 總 時(shí)間: 2025-3-22 20:36
Richard Bellamy,Justus Sch?nlauometrical structures of the “scene space” and the “image space” by means of tensor calculus. Then, we analyze invariance properties of “l(fā)inear functionals” of images, which we call ., and show how they are used for identification and classification of shapes.作者: 工作 時(shí)間: 2025-3-23 00:47 作者: 斜谷 時(shí)間: 2025-3-23 03:21
The Significance of Philosophical Fallacies,efinitions of . and . in terms of the theory of distributions and differential geometry. Then, we present numerical schemes for solving the resulting 3D recovery equations. We also give some numerical examples for synthetic data.作者: 索賠 時(shí)間: 2025-3-23 08:03
Subjective Probability and Common Knowledgent data. Our optimization is achived by solving a set of linear equations; no searches and iterations are necessary. This technique is first applied to the problem of shape from motion and then to the 3D recovery based on the rectangularity hypothesis and the parallelism hypothesis.作者: insidious 時(shí)間: 2025-3-23 12:43
Coordinate Rotation Invariance of Image Characteristicsine which we call “Weyl’s thesis”, we show that the geometrical meanings of involved quantities become clear if the 3D recovery equations are written in terms of invariants. We also see that analytical solutions often emerge themselves. To illustrate this, we apply our method to optical flow analysis and the shape-from-texture problem.作者: 溫和女孩 時(shí)間: 2025-3-23 14:53
3D Rotation and Its Irreducible Representationsfficult due to the fact that .(3) is not Abelian. Fortunately, a powerful tool is available: we only need to analyze “infinitesimal transformations”. This is because the structure of a compact Lie group is completely determined by its Lie algebra. To demonstrate our technique, we analyze the transformation of optical flow under camera rotation.作者: allergy 時(shí)間: 2025-3-23 18:05
Characterization of Scenes and Imagesometrical structures of the “scene space” and the “image space” by means of tensor calculus. Then, we analyze invariance properties of “l(fā)inear functionals” of images, which we call ., and show how they are used for identification and classification of shapes.作者: CROAK 時(shí)間: 2025-3-23 23:16 作者: ALLAY 時(shí)間: 2025-3-24 03:18
Shape from Textureefinitions of . and . in terms of the theory of distributions and differential geometry. Then, we present numerical schemes for solving the resulting 3D recovery equations. We also give some numerical examples for synthetic data.作者: 兇兆 時(shí)間: 2025-3-24 09:52 作者: 愛管閑事 時(shí)間: 2025-3-24 14:19
https://doi.org/10.1007/978-3-642-87824-4This chapter describes what is meant by .. We begin with the imaging geometry of ., and introduce the ., which plays a central role in subsequent chapters. Then, we discuss two typical mathematical approaches to the three-dimensional (3D) recovery problem—the . and the .. Finally, the organization of this book is described.作者: Flounder 時(shí)間: 2025-3-24 16:05 作者: CHANT 時(shí)間: 2025-3-24 22:09
Group-Theoretical Methods in Image Understanding978-3-642-61275-6Series ISSN 0720-678X 作者: Longitude 時(shí)間: 2025-3-25 01:15
Mind and Brain: The Embodied Personand inverses. For this purpose, we present many different representations of 3D rotations—by a rotation matrix, an angle and an axis, the ., the ., and a .. We also discuss topological aspects of .(3). Finally, we derive . of .(3).作者: visceral-fat 時(shí)間: 2025-3-25 05:45 作者: labile 時(shí)間: 2025-3-25 10:36 作者: 笨拙的你 時(shí)間: 2025-3-25 15:40 作者: 與野獸博斗者 時(shí)間: 2025-3-25 17:58
Algebraic Invariance of Image Characteristicsd representations of .(3). By taking linear combinations, we rearranged such image characteristics into groups such that each had independent transformation properties. In mathematical terms, this process is the . of the representation. In this chapter, we remove the restriction of linearity. We con作者: Omniscient 時(shí)間: 2025-3-25 21:48 作者: 鐵砧 時(shí)間: 2025-3-26 00:12 作者: 彩色 時(shí)間: 2025-3-26 08:15
Shape from Motionery equations in terms of invariants constructed from image characteristics. These invariants correspond to irreducible representations of .(2)—the group of rotations of the image coordinate system. We also discussed the geometrical meanings of these invariants. In the following, we give an analytic作者: BLA 時(shí)間: 2025-3-26 09:24 作者: Kidney-Failure 時(shí)間: 2025-3-26 14:10 作者: Autobiography 時(shí)間: 2025-3-26 18:56
Shape from Surfacethis does not mean that the 3D object shape can actually be reconstructed. Specifying the edge and surface orientations is often “over-specification”, and inconsistency may result if image data contain errors. We propose a scheme of optimization to construct a consistent object shape from inconsiste作者: 聯(lián)邦 時(shí)間: 2025-3-26 21:11 作者: 不怕任性 時(shí)間: 2025-3-27 02:03 作者: 性別 時(shí)間: 2025-3-27 09:04 作者: foodstuff 時(shí)間: 2025-3-27 13:16
Richard Bellamy,Justus Sch?nlauch intensity values are attached, we define “scenes” as functions of orientations. Images are perspective projections of these functions onto the image plane. The camera rotation transformation of scenes and images induces representations of .(3) in the space of functions known as .. We study the ge作者: 讓你明白 時(shí)間: 2025-3-27 13:41 作者: originality 時(shí)間: 2025-3-27 20:51 作者: 禁止 時(shí)間: 2025-3-27 23:38 作者: 傻 時(shí)間: 2025-3-28 02:52 作者: fiscal 時(shí)間: 2025-3-28 09:31 作者: BRAWL 時(shí)間: 2025-3-28 13:34
Glenn McGee,Jessica Anchor,Arthur Caplany of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. This makes the book self-contained for graduate students and researchers..978-94-007-3313-8978-90-481-9482-7Series ISSN 1383-8601 Series E-ISSN 2215-162X 作者: meritorious 時(shí)間: 2025-3-28 15:52
CDNeRF: A Multi-modal Feature Guided Neural Radiance Fields, Chair, Car) and two category agnostic benchmarks (i.e., ShapeNet, DTU). The results demonstrate that our CDNeRF outperforms the previous methods, and achieves state-of-the-art neural rendering performance.作者: arboretum 時(shí)間: 2025-3-28 22:01 作者: GROG 時(shí)間: 2025-3-29 00:15 作者: ANTIC 時(shí)間: 2025-3-29 05:32
Ahmed S. Shams,Michael Kybaation spaces, and quotient spaces.Requires only some familiaThis book is a revised and enlarged edition of "Linear Algebraic Groups", published by W.A. Benjamin in 1969. The text of the first edition has been corrected and revised. Accordingly, this book presents foundational material on algebraic g作者: VICT 時(shí)間: 2025-3-29 11:10
