vision, object categorization from image search is the problem of training a classifier to recognize categories of objects using only image search, i.e....

Image organizer Image processing Information retrieval Object categorization from image search Multimedia information retrieval VisualRank Learning to...

Stochastic grammars Intraclass transfer learning Object categorization from image search Reflectance Shape-from-shading Template matching Texture Topic models...

unknown object (unknown search query). Examples are buildings in a foreign city. These search engines often use techniques for content-based image retrieval...

existence. Content-based image retrieval Object categorization from image search Object detection Outline of object recognition Barrat, Sabine; Tabbone, Salvatore...

The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million images have been...

computer vision, and specifically object detection and localization. The original goal of R-CNN was to take an input image and produce a set of bounding boxes...

"Novel dataset for fine-grained image categorization: Stanford dogs."Proc. CVPR Workshop on Fine-Grained Visual Categorization (FGVC). 2011. Parkhi, Omkar...

and binarized image, etc., Object Attribute-based methods search a measure of similarity between the gray-level and the binarized images, such as fuzzy...

storing of multiple images as part of a single entity preceded the term BLOB (Binary Large OBject), the ability to fully search by content, rather than...

brain. The categorization task consisted of participants placing objects from canonical or unusual views as either indoor or outdoor objects. The recognition...

Small object detection is a particular case of object detection where various techniques are employed to detect small objects in digital images and videos...

refraction to produce a displaced image of distant objects or the sky. The word comes to English via the French (se) mirer, from the Latin mirari, meaning "to...

computation levels. The image features learned from image classification can be transferred to other computer vision problems. E.g., for object detection, the...

image correspond to which parts of another image, where differences are due to movement of the camera, the elapse of time, and/or movement of objects...

the image of the target might change for different possible motions of the object. Examples of simple motion models are: When tracking planar objects, the...

odg, xlsx, pptx. The search engine is also able to index text inside Shockwave Flash objects (if the text is not placed on the image itself), if these elements...

reconstruct CT imagery from X-ray. Stereo vision obtains the 3-dimensional geometric information of an object from multiple images based on the research...

Moving object detection is a technique used in computer vision and image processing. Multiple consecutive frames from a video are compared by various methods...

LabelMe has 187,240 images, 62,197 annotated images, and 658,992 labeled objects. The motivation behind creating LabelMe comes from the history of publicly...

problem to a simpler localization only task, perhaps allowing for moving objects such as cars and people only to be updated in the map at runtime. SLAM...

seen in one image on the surface of the object, by closer voxels seen in the other image, on the surface of the object. Where the image planes are not...

each other in two views (images or frames) of a real scene or object are "usually" the same point in that scene or on that object. Before we do motion estimation...

it can convert multiple images into a representation of 3D space, then use the representation to create images as seen from new angles. Multiple works...

names below) is a technology that uses optical character recognition on images to read vehicle registration plates to create vehicle location data. It...

local features in images, invented by David Lowe in 1999. Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling...

the objects must be reflecting or emitting sufficient light. An optical tracking system typically consists of three subsystems: the optical imaging system...

the image data. In 2020, the VASCO collaboration started up a citizen science project, vetting through images of many thousands of candidate objects. The...

several learning methods to leverage the BoW model for image related tasks, such as object categorization. These methods can roughly be divided into two categories...

Model animation Go motion Object animation Brickfilm Graphic animation Pixilation Computer animation Anime Categorization by dimensionality of characters:...