Is not? A few days later, is the same scene, the other people will jump down.
不是？几天后，又是同样的情景，另一个人也跳下去了。
His puppy ran away sometimes, so he had to act the same scene again and again.
和他一同拍戏的小狗有时跑掉了，因此他必须再次又再次地拍摄同样的场景。
Perhaps someday in the future on the same scene, I will put on the white gown for you.
也许未来的某一天在同样的场景里，为你穿上白色的纱。
This same scene was shown in many trailers, but the image of the shield was edited out.
同样的场景也出现在了预告片里，但是盾牌的画面被删掉了。
His creative thinking combines both art and pictures portraying two different things within the same scene.
他创造性地将艺术和图片融合在一起，在同一个场景中描绘两个不同的东西。
That is already possible in principle if two shots of the same scene have been taken from different angles.
如果从两个不同的角度进行拍摄的话，在原理上也行的通。
Here we have the same scene with the same Settings like above. Only the image for fake reflection is different.
这里是有着同样设置的同一个场景，惟一的不同是没有添加模拟反射贴图。
Level of model (LOD) means to create models with different details in the same scene, and USES them while drawing.
细节层次模型(LOD)是指对同一个场景或场景中的物体，使用具有不同细节的方法得到一组模型，供绘制时使用。
The 12-frame long close up of the roaring wampa in that same scene is just a puppet, shot against a nondescript sky.
在同一个场景里，那个12帧的咆哮万帕特写镜头仅仅是在无明显特征的天空下拍摄的木偶。
Had I photographed the same scene without considering light, I could have very well ended up with something much less dramatic.
如果我在同一个场景、没有考虑光线就进行拍摄，我所得到的无疑是一张逊色不少的相片。
Image registration is a fundamental task in image processing. It is the basic step for multi-image analysis of the same scene.
图像配准是图像处理领域的一个基本问题，它是同场景的多图像分析的基础。
He often put the images of animals and humans under the same scene by collage technique, or to dress animals in human clothing.
他经常把动物和人的图像用拼贴的手法置于同一场景中，或者给动物穿上人类的服装。
Image Mosaic deals with two or a few overlapped images from the same scene, which mosaics them into a larger high qualified image.
图像拼接就是将两幅或多幅来自同一场景的有重叠区域的小尺寸图像合成为一幅大尺寸的高质量图像。
Geometric distribution is used to depict the change of scene and the fluctuation is described by the AR (2) model in the same scene.
用几何分布来描述场景的变化，用AR(2)模型来反映同一场景内码流的波动。
We may see the same scene everywhere in the life: in subway, restaurants, elevators, roads, people are watching their mobile phones.
生活中任何地点都会出现这样的场景：无论是在地铁、餐厅、电梯还是路上，人们都低头关注着自己的手机。
Basically, the goal of image registration is to align images of same scene by removal of the potential geometrical distortion existed.
配准问题的目的就是将同一场景的不同图像对齐或匹配，消除存在的几何畸变。
A process is designed to fuse multiple images in the same scene, and to produce an image that contains less noise and more information.
提出了一种智能地融合同一场景的多幅图像为一幅图像的方法，与原图像相比，产生的图像包含较少的噪声和更多的信息。
So, where a single snap may miss out on detail in the lightest and darkest areas, an HDR image of the same scene looks preternaturally well lit.
因此，在一个可能会错过上最轻和最暗区域的细节的单一管理单元，同一场景下hdr图像看起来更加光线充足。
Applications can include fusion of results by different enhancement methods, photos of the same scene with different focus or different exposures, etc.
方法可应用于同一图像不同增强方法结果之间、相同场景采用不同对焦距离或不同曝光时间所拍摄照片之间等的融合。
And from what Max was hearing over the net, the same scene had played at each and every Invid farm and installation throughout the planet's equatorial belt.
从麦克斯在通信网络里听到的情况来看，类似的情景在每一个因维农场都上演了，并且遍及整个行星的环赤道带。
Different data sets relative to the same scene acquired with different view angles can be exploited to improve slant-range resolution of SAR in broadside mode.
在正侧视模式下，以不同视角对同一地域进行观测可获得多组回波数据，通过对多组回波数据的综合处理可提高SAR的距离向分辨力。
This work is to research the problem of matching images which are got from the same scene in different views, that is, the problem of multi-view image registration.
本文所要研究的就是对从不同视角拍摄的有关同一场景的多个不同视角的图像进行匹配的问题，即多视角图像配准问题。
Image registration is the process of matching two or more images that get from the same scene derived from different time, different sensors or different views of Angle.
图像配准是对取自不同时间、不同传感器或不同视角的同一场景的两幅图像或者多幅图像匹配的过程。
While the map is being built, the camera viewpoint and angle are calculated so that 3D graphics can be projected into the video stream and appear to belong in the same scene.
可视画面构建的过程中，通过相机角度的计算可以使3D画面投射到视频流中，这样，虚拟与现实物体看起来就像处在同一个场景当中。
Our experiments show that DSNR of different images in the same scene changes congruously with PSNR, thus can be used to evaluate the quality of decompressed images and image sequences.
实验证明，在相同场景中dsnr能较好地反映PSNR的变化，因而可以用于同一图象的不同压缩图象以及图象序列的评价。
Our experiments show that DSNR of different images in the same scene changes congruously with PSNR, thus can be used to evaluate the quality of decompressed images and image sequences.
实验证明，在相同场景中dsnr能较好地反映PSNR的变化，因而可以用于同一图象的不同压缩图象以及图象序列的评价。
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