The Walker treasury of first stories : 30 picture book favourites.

Colección de treinta historias y poemas de amor para los niños pequeños, entre los que se encuentran: 'Miss Polly', 'Clown', 'The Big Big Sea', 'The Elephant Tree'.

What's that? : a first word and picture book.

Los niños más pequeños disfrutan al señalar y nombrar objetos que les son familiares. También aprenden y reconocen el nombre de estos objetos cotidianos.

The Cambridge picture dictionary.

Preparado para niños de más de siete años que están aprendiendo inglés, les ayuda a mejorar la comprensión del idioma y a disfrutar de su aprendizaje. También les prepara para saber manejar un diccionario.

My fun picture dictionary.

Obra de referencia para descubrir más de cuatrocientas palabras esenciales, sus definiciones y cómo utilizarlas, que se explican en un contexto que los niños entienden fácilmente.

Let's get together : poem and picture posters.

Explorar los poemas: en cada cartel puede hacerse lectura compartida del poema. Leer el poema en voz alta invitando a los niños a unirse, repitiendo cada palabra. Llamar la atención sobre el ritmo del poema. Destacar y comentar las palabras que riman. También pueden organizarse distintas actividades de acuerdo a las características de cada cartel.

Picture books for the literacy hour : activities for primary teachers.

Proporciona una guía práctica a los profesores que están aplicando la estrategia nacional de alfabetización para las etapas 1 y 2 (key stage 1 y 2). Se muestra como se pueden lograr los objetivos de aprendizaje a través de actividades significativas relacionadas con el texto elegido. Así, para enseñar a leer y escribir se utilizan cuentos populares, poemas, mitos y leyendas de diferentes tradiciones culturales. A cada libro propuesto le acompaña una detallada descripción de las actividades a realizar y hojas con actividades para fotocopiar.

Treatment of nonlinear optical properties due to large amplitude anharmonic vibrational motions: umbrella motion in NH3

A general reduced dimensionality finite field nuclear relaxation method for calculating vibrational nonlinear optical properties of molecules with large contributions due to anharmonic motions is introduced. In an initial application to the umbrella (inversion) motion of NH3 it is found that difficulties associated with a conventional single well treatment are overcome and that the particular definition of the inversion coordinate is not important. Future applications are described

Manifold clustering for motion segmentation

En aquesta tesi s’estudia el problema de la segmentació del moviment. La tesi presenta una revisió dels principals algoritmes de segmentació del moviment, s’analitzen les característiques principals i es proposa una classificació de les tècniques més recents i importants. La segmentació es pot entendre com un problema d’agrupament d’espais (manifold clustering). Aquest estudi aborda alguns dels reptes més difícils de la segmentació de moviment a través l’agrupament d’espais. S’han proposat nous algoritmes per a l’estimació del rang de la matriu de trajectòries, s’ha presenta una mesura de similitud entre subespais, s’han abordat problemes relacionats amb el comportament dels angles canònics i s’ha desenvolupat una eina genèrica per estimar quants moviments apareixen en una seqüència. L´ultima part de l’estudi es dedica a la correcció de l’estimació inicial d’una segmentació. Aquesta correcció es du a terme ajuntant els problemes de la segmentació del moviment i de l’estructura a partir del moviment.

A proposal to estimate the motion of an underwater vehicle through visual mosaicking

This thesis proposes a solution to the problem of estimating the motion of an Unmanned Underwater Vehicle (UUV). Our approach is based on the integration of the incremental measurements which are provided by a vision system. When the vehicle is close to the underwater terrain, it constructs a visual map (so called "mosaic") of the area where the mission takes place while, at the same time, it localizes itself on this map, following the Concurrent Mapping and Localization strategy. The proposed methodology to achieve this goal is based on a feature-based mosaicking algorithm. A down-looking camera is attached to the underwater vehicle. As the vehicle moves, a sequence of images of the sea-floor is acquired by the camera. For every image of the sequence, a set of characteristic features is detected by means of a corner detector. Then, their correspondences are found in the next image of the sequence. Solving the correspondence problem in an accurate and reliable way is a difficult task in computer vision. We consider different alternatives to solve this problem by introducing a detailed analysis of the textural characteristics of the image. This is done in two phases: first comparing different texture operators individually, and next selecting those that best characterize the point/matching pair and using them together to obtain a more robust characterization. Various alternatives are also studied to merge the information provided by the individual texture operators. Finally, the best approach in terms of robustness and efficiency is proposed. After the correspondences have been solved, for every pair of consecutive images we obtain a list of image features in the first image and their matchings in the next frame. Our aim is now to recover the apparent motion of the camera from these features. Although an accurate texture analysis is devoted to the matching pro-cedure, some false matches (known as outliers) could still appear among the right correspon-dences. For this reason, a robust estimation technique is used to estimate the planar transformation (homography) which explains the dominant motion of the image. Next, this homography is used to warp the processed image to the common mosaic frame, constructing a composite image formed by every frame of the sequence. With the aim of estimating the position of the vehicle as the mosaic is being constructed, the 3D motion of the vehicle can be computed from the measurements obtained by a sonar altimeter and the incremental motion computed from the homography. Unfortunately, as the mosaic increases in size, image local alignment errors increase the inaccuracies associated to the position of the vehicle. Occasionally, the trajectory described by the vehicle may cross over itself. In this situation new information is available, and the system can readjust the position estimates. Our proposal consists not only in localizing the vehicle, but also in readjusting the trajectory described by the vehicle when crossover information is obtained. This is achieved by implementing an Augmented State Kalman Filter (ASKF). Kalman filtering appears as an adequate framework to deal with position estimates and their associated covariances. Finally, some experimental results are shown. A laboratory setup has been used to analyze and evaluate the accuracy of the mosaicking system. This setup enables a quantitative measurement of the accumulated errors of the mosaics created in the lab. Then, the results obtained from real sea trials using the URIS underwater vehicle are shown.

VLSI architecture for motion estimation in underwater imaging

El treball desenvolupat en aquesta tesi aprofundeix i aporta solucions innovadores en el camp orientat a tractar el problema de la correspondència en imatges subaquàtiques. En aquests entorns, el que realment complica les tasques de processat és la falta de contorns ben definits per culpa d'imatges esborronades; un fet aquest que es deu fonamentalment a il·luminació deficient o a la manca d'uniformitat dels sistemes d'il·luminació artificials. Els objectius aconseguits en aquesta tesi es poden remarcar en dues grans direccions. Per millorar l'algorisme d'estimació de moviment es va proposar un nou mètode que introdueix paràmetres de textura per rebutjar falses correspondències entre parells d'imatges. Un seguit d'assaigs efectuats en imatges submarines reals han estat portats a terme per seleccionar les estratègies més adients. Amb la finalitat d'aconseguir resultats en temps real, es proposa una innovadora arquitectura VLSI per la implementació d'algunes parts de l'algorisme d'estimació de moviment amb alt cost computacional.

The effect of "picture story" context on verbal elicted imitation in deaf students

This paper reviews a study to determine the effects of including a supporting context in an imitation procedure for use with the deaf.

Adapting the Peabody Picture Vocabulary Test for deaf children

This paper examines adapting the Peabody Picture Vocabulary Test (PPVT), a receptive vocabulary test, for hearing-impaired children.

Comparing two receptive vocabulary tests: The receptive one word vocabulary test and the peabody picture vocabulary test

This paper discusses a study to determine whether the Receptive One Word Picture Vocabulary Test is more useful than the Peabody Picture Vocabulary Test in assessing the vocabularies of hearing imparied children.

Velocity discrimination of angular motion at different frequencies in individuals with normal vestibular function

The purpose of this study was to evaluate discrimination of angular velocity in individuals with normal vestibular function using a newly developed adaptive psychophysical measure. Vestibular psychophysical testing may complement existing clinical measures in diagnosing and treating patients with imbalance.